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  <front>
    <journal-meta />
    <article-meta>
      <article-id pub-id-type="doi">10.1007/978-90-481</article-id>
      <title-group>
        <article-title>Tuberculosis Diagnosis - An Ontology-Driven Conceptual Model</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Thayza S. Guarnier</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maria das G. da Silva Teixeira</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Danielli dos R. Costa</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andreia S. dos Santos</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Susana Bubach</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Carolina M. M. Sales</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Silvia das D. Rissino</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Federal University of Espírito Santo - ES -</institution>
          <country country="BR">Brazil</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2021</year>
      </pub-date>
      <volume>728</volume>
      <issue>15</issue>
      <fpage>11</fpage>
      <lpage>18</lpage>
      <abstract>
        <p>This work applied the SABiO methodology and used UFO foundational ontology to develop an ontology-driven conceptual model in the field of Health Care, focused on Infectious Communicable Diseases for Pulmonary Tuberculosis, called OntoTB. Even today, OntoTB is required, despite existing treatment and being a curable disease, Tuberculosis is one of the 10 main causes of death in the world, demanding a better understanding of the domain to support Information Systems. The model was developed and validated with the support of specialists in Epidemiology. The ontology specification presents the items: graphical representation, dictionary of terms, competence questions and quality control through technical review involving both domain specialists and the competence questions. Among the future possibilities are continuing the expansion of the ontology and developing an automated informational tool to help professionals in the field on data collection and analysis, as well as in decision making.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Communicable Infectious Disease</kwd>
        <kwd>Ontology-Driven Conceptual Model</kwd>
        <kwd>OntoTB</kwd>
        <kwd>UFO</kwd>
        <kwd>SABiO</kwd>
        <kwd>Health Care</kwd>
        <kwd>Tuberculosis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Ontology is multi. It can be used in multiple areas, such as Health and Law. It is developed by
multiple areas, such as Computer Science and Information Science. It has multiple definitions – among
them, we can quote the definition by Gruber [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], who says that an ontology is a formal and explicit
specification of a shared conceptualization. It is classified in multiple ways, such as foundational and
domain ontologies. It involves multiple people, such as modelers and experts. It can evolve in multiple
ways [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ][
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. That’s why we decided to work with it.
      </p>
      <p>Work with ontology requires making a choice about a domain. For the present project, it delved into
an area of knowledge – Health Sciences. It studies fields related to life, health, and disease and that use
different methodological principles in the diagnostic, performance, and monitoring phase, that is, in the
pre-pathogenesis and pathogenicity of a disease. In this way, there are different research centers in this
area and with different study guidelines, so that it can be subdivided into smaller areas.</p>
      <p>
        Health Sciences are a comprehensive and complex domain that studies aspects related to life, health,
and disease, and that use different methodological principles in the pre-pathogenesis and pathogenic
periods of a disease. In this way, there are different research centers in this field and with different study
guidelines, so that it can be subdivided into smaller areas. One of these sub-areas that make up the large
area of Health is Public Health, which in turn, is subdivided into smaller areas, including Epidemiology,
which studies Infectious Diseases – clinical, epidemiological aspects, mode of transmission and
diagnosis through signs, symptoms, and tests, how to fight, what is the treatment and the impact on the
infected person's life [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ][
        <xref ref-type="bibr" rid="ref5">5</xref>
        ][
        <xref ref-type="bibr" rid="ref6">6</xref>
        ][
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. This shows the size and complexity of the area, justifying our choice.
      </p>
      <p>
        An infectious disease is a disease resulting from an infection. An infection is caused by the
penetration and development of infectious agents such as viruses, bacteria, protozoa, or fungi in the
body. These infectious agents can live in a person's body without causing harm or manifesting infection.
However, when there is an alteration in the host's immune system, these infectious agents can proliferate
and cause a disease [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>
        Tuberculosis (TB) is a communicable infectious disease caused by the etiological agent M.
Tuberculosis, of long duration, which can chance a person's immunity and make it susceptible to other
diseases, but which is preventable and curable. It is known that TB can affect several organs and human
systems. However, the pulmonary form is the most important for Public Health, as it is responsible for
maintaining the disease transmission chain [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ][
        <xref ref-type="bibr" rid="ref9">9</xref>
        ][
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
      </p>
      <p>
        Worldwide, TB is the leading cause of death among infectious diseases and one of the 10 leading
causes of death overall. In 2019, about 10 million people developed TB and 1.4 million people died,
including approximately 208,000 people with HIV [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. In Brazil, in 2019, there were more than 70
thousand new cases of the disease. Despite having a cure, treatment abandonment is one of the main
reasons for Tuberculosis to continue causing fatalities [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ][
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. Due to these characteristics, it is
believed that the detection, management, and treatment of Tuberculosis can benefit from the use of
technological tools, the first step being the development of an ontology to represent the domain.
      </p>
      <p>
        As the choice of a domain is necessary, the ontology must have a development methodology that
adapts to the requirements of the stakeholders. In this sense, we chose to work with the Systematic
Approach for Building Ontologies (SABiO) [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], which works together with the Unified Foundational
Ontology (UFO), a foundational ontology, for the development of core and domain ontologies [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. We
named our ontology as OntoTB – the Ontology of Tuberculosis. It is a reference ontology that jointly
applies SABiO and UFO for the organization of concepts in Health area, focused on Communicable
Infectious Diseases and specialized in Pulmonary Tuberculosis. The ontology was developed using
the Astah UML tool (student version 8.3.0) and uses OntoUML as the modeling language.
      </p>
      <p>
        There are some options available for us to select as a foundation, such as BFO [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ], DOLCE [15]
and UFO [16]. We chose to work with UFO, as we are already familiar with such a foundation and the
tools for building models with such a foundation. In addition, UFO is already successfully applied in
different domains, such as Law [17] and Water Quality Data [18], as well as int Health itself [19]. There
is also have the curiosity to continue investigating the performance of UFO in the Health domain.
      </p>
      <p>
        A brief search for related works showed some interesting results, including: (1) OntoSaúde [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] is an
overview of an ontology in Health area that applied SABiO approach and was mapped to a data model
using the REDCap2 tool, which resulted in a data collection instrument. From OntoSaúde onwards,
studies concerning the domain of TB were started, discussed in [20] and continued in the present paper;
(2) Pasini [21] presents a study on the application of ontologies as a solution to organize the existing
vocabularies in the field of Health. The proposed ontologies came from a project, OntoData, which
studies ontologies in the discovery of knowledge in Health and originated two ontologies: one totally
based on the International Statistical Classification of Diseases and Related Health Problems (ICD10)
and one that reuses the CID10 ontology and presents the Basic Data Indicators for Health in Brazil
(IDB) as principles for its development; (3) Tuberculosis Ontology for Host Systems Biology [22] is
an operational ontology that presents a collaborative database with a standardized vocabulary of the
main concepts in the domain of Tuberculosis, covering the existing terminology with a clinical focus
of the disease. The difference between OntoTB and the one proposed in [22] lies in the organized
presentation of the domain concepts and their relationships in a graphical, not just textual, manner. The
study of such ontologies showed that there is still space for a proposal such as OntoTB. At the same
time, some of these ontologies could have concepts reused by our proposal.
      </p>
      <p>After the introduction, this text is structured in the following sections: Section 2 brings the
methodology adopted for the work and a brief theoretical reference on the main concepts that are
necessary to understand the text. Section 3 contains the portrait of conceptual modeling created from
studies carried out and information acquired during the process (SABiO). Section 4 presents the final
considerations, as well as future works.
2 Research Electronic Data Capture is a web browser-based software that enables the creation and management of databases online.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Adopted Methodology and Brief Theoretical Foundation</title>
      <p>Ontologies, in general, can be used to describe concepts of a problem domain, allowing knowledge
about this domain and it’s understanding to be facilitated [23]. They provide uniformity to the concepts,
aim to designate an information organization structure with a foundation that is capable of being read
and understood by people and machines, can provide the semantic interoperability3 of data, in addition
to representing a reality or domain and its relationships, using specific vocabularies [20][24]. Despite
the great benefits that an ontology can bring to Information Systems and Knowledge Management, the
understanding of what ontologies are still not widespread as desired.</p>
      <p>
        Complementarily, in Computer Science, conceptual models facilitate communication between their
stakeholders, and can be used to provide mechanisms that machines can understand, through modeling
for an operational language that can be read and understood by the machine, and to process a given
domain and they are an expressive and accurate representation of the domain they aim to represent. One
way to obtain the representativeness demanded by these models is using ontologies, giving rise to
Ontology-Driven Conceptual Models (ODCM) or simply reference ontologies. Examples of ODCM
can be found in the literature, such as the works in [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ][23][26].
      </p>
      <p>
        The ontology development process is dynamic, as it allows for expansion and refinements, to adapt
to the requirements of the application environment and its stakeholders. Thus, it is necessary to choose
methodologies and technologies that adapt to this process [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ][27].
      </p>
      <p>UFO4, used in the present work, is a high-quality foundational ontology applied in the development
of domain ontologies and which provides a basis to support an ontology-driven conceptual model. UFO
is organized in 3 layers: UFO-A (of objects), UFO-B (of events) and UFO-C (of social aspects).
Furthermore, a strong attraction is having associated a conceptual modeling language, the OntoUML5,
and editors that support the creation, verification, and validation of ontologies [32], based on UFO.</p>
      <p>UFO-A, the main foundation of OntoTB, is an ontology of objects that represents types of
individuals that last in time and is composed of categories of elements. One of these categories is
Monadic Universal, which specializes in Moment Universal and Substantial
Universal – both represent categories of individuals. Substantial Universal are
independent, that is, their existence does not depend on any other individual. The Moment
Universal is dependent on other individuals [16].</p>
      <p>Substantial Universal specializes in Sortal Universal e Mixin Universal.
Sortal Universal are objects that have the same principle of identity at any point in time. Mixin
Universal brings together individuals who have common properties and different identity principles
[16].</p>
      <p>Sortal Universal specializes in AntiRigid Sortal and Rigid Sortal. AntiRigid
types are concepts that can change over the course of their existence and that are instantiated for a
period. These may be specialized in Role e Phase. Phase types are temporary states that an entity
can have. In turn, Rigid do not change over their lifetime and are instantiated as long as they exist and
are specialized in Substance Sortal e Subkind. The Substance Sortal provides identity
principles to other instances and is subdivided into Kind, Collective e Quantity. Kind type is
responsible for providing identity principle to individuals. Quantity type is used to represent
instances that have a quantitative character [16]. As an example, we can cite Person, which is an instance
of type Kind; Adult, an instance of type Phase; Sample is an example of Quantity and as Role
we can cite Health Professional, a role that Person plays in being related to the area of Health.</p>
      <p>
        As important as choosing the foundation on which the reference ontology will be based, it is
necessary to choose the appropriate development methodology. Ontology Engineering is an area that
encompasses different methodologies that present techniques and processes for the development of
ontologies. The methodology used in the development process of OntoTB was SABiO, proposed by
Falbo [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]. SABiO can be applied using UFO as a foundational ontology, being generic enough and
3 An example of work on can be seen in [25].
4 For more information on UFO and the constructs, access [16][28][29][30].
5 It is an expansion of UML profile composed of a set of stereotypes that represent the ontological categories of the universal types of
UFOA and the formal restrictions that reflect the axiomatization of UFO [31].
therefore adaptable to any domain. SABiO was selected because the authors have experience with the
process, and it has been applied in successful cases, such as [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ][18][26], being a quality methodology.
      </p>
      <p>SABiO is a systematic approach that is composed of five activities in the development process:
Requirements Elicitation and Purpose Identification, Ontology Capture and Formalization, Design,
Implementation and Test. As well as the main phases, SABiO also includes development support
processes, which are: Knowledge Acquisition, Reuse, Documentation, Configuration Management and
Evaluation. The activities execution flow is shown in Figure 1.</p>
      <p>OntoTB, a reference ontology, was developed using five SABiO activities: (1) Requirements
Elicitation and Identification of Purpose, which consists, through research sources related to the domain
and meetings with experts, the study and collection of material about the main concepts of the area so
that the purpose of creating the ontology is justified; (2) Capture and Formalization of Ontology, is the
construction of ontology; (3) Knowledge Acquisition is a support stage that accompanies the entire
ontology construction process, which consists of the study and understanding of the main concepts in
the area; (4) Documentation6, which includes all the results of the development processes, including the
purpose, use and competence questions that the ontology, at the end of the process, must answer, the
conceptual models and the textual descriptions of the concepts and relationships present in the model,
the formal and informal axioms, architecture, design, test cases and results; (5) Evaluation, a process
that accompanied the entire development of the ontology. It can be seen from two perspectives:
verification, which intends to guarantee the correctness of the ontology construction, according to the
specifications defined in previous stages, and validation, which aims to guarantee that the ontology
provides all the proposed specifications; and (6) Reuse. The main OntoTB artifacts generated by SABiO
activities are described in section 3.</p>
      <p>Some SABiO terms connected somehow to OntoTB are: (1) Domain reference ontology, also
referred to as an ontology-driven conceptual model, is built with the objective of better describing a
specific domain, focusing on the expressiveness of the domain. In this work, the reference ontology is
OntoTB itself; (2) Operational ontology is an ontology developed in an implementational language,
focusing on computational efficiency; (3) Relational data model is a data model adopted by the
relational methodology, being a parallel to the operational ontology. It is one of the future works from
OntoTB, as well as item (2); (4) Competence question (CQ) is a relevant question about the problem
domain that must be answered by the developed ontology. An example of a question within OntoTB's
competence is: What type(s) of treatment, referring to the health organization, for Tuberculosis is
currently present in Brazil? The answer of this CQ it describes in the next section. (5) Derivation axioms
enable information to be derived from previous knowledge; (6) Consolidation axioms define the limits
for defining an object or declaration of relations. Axioms are complements to the ontology's graphical
representation. No axioms for OntoTB have been developed yet.
6 The glossary of terms is available and can be accessed at https://github.com/ThayzaSacconi/Ontologia-Doencas-Infecciosas</p>
    </sec>
    <sec id="sec-3">
      <title>3. Ontology of Infectious Diseases with a Focus on Tuberculosis – OntoTB</title>
      <p>During the SABiO requirements elicitation and purpose identification activity, the purpose and use
of OntoTB were defined, as well as some competency questions that are pertinent to the domain and
that are answered in the end of the process.</p>
      <p>The purpose of OntoTB is to present entities, relationships, attributes, and restrictions in the field of
Tuberculosis, identified from studies in Epidemiology and interviews with experts in the field. The
ontology characterizes a person's relationships with their possible health problems, in this case,
Pulmonary Tuberculosis, and the means to diagnose and treat the disease.</p>
      <p>The use of OntoTB will provide, to the parties involved, a better way to disseminate knowledge,
reducing the difficulty or failure in understanding the subject and allows the generation of an
informational tool, such as a data collection instrument for analysis using REDCap, which has been
widely used by health professionals, for use by those involved in the domain.</p>
      <p>Some of the CQ that must be answered by the ontology are presented in Table 1. The questions were
developed from the main questions that health professionals receive from Tuberculosis patients and
from those interested in the domain, as identified in the constant discussion with experts. Such questions
are the most frequent doubts with by ontology, although they are not the only ones.</p>
      <p>In the second stage of SABiO, capture and formalize the ontology, the conceptual modeling itself
was performed, which aims to represent a fragment of the domain of Epidemiology, which studies
Infectious Diseases.</p>
      <p>Figure 2 shows OntoTB organized by its subontologies identified in the work context, which are
described in Table 2. The subontologies are strongly linked, as the associations between them represent
the use of concepts from other modules. The model is divided into the following modules7: Person,
Health Problem, Epidemiology, Tuberculosis, Diagnosis and Treatment, which considers both the most
common treatment and resistant TB8. The Epidemiology subontology encompasses general concepts
about the natural history of the disease, just as Tuberculosis includes the Epidemiological and Clinical
part of the disease9. In this work, the following subontologies are detailed: Tuberculosis diagnosis and
treatment process. Both based on the Brazilian Health System.
7 The model is divided into modules and separated by colors to identify the origin of the concepts. The color of each module is identified in
Figure 2.
8 Not included in this work as it is still in the development stage.
9 The Epidemiology and Clinical Tuberculosis subontologies were published in [20] and can be accessed at
http://ceur-ws.org/Vol2728/short5.pdf</p>
      <p>
        About reuse, concepts were reused in different modules. As an example, we can mention: (1) in the
Health Problem module, the reuse was partial of the concepts present in OntoSaúde [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] with some
adjustments and insertion of new concepts to contemplate the current study on Tuberculosis; (2) in the
Diagnosis and Treatment modules, some concepts were reused from Tuberculosis Ontology for Host
Systems Biology [22] and suitable for a reference ontology of Pulmonary Tuberculosis.
      </p>
      <p>Description
It identifies entities and relationships of the diagnosis process
from patient signs and symptoms and tests performed by
him/her.</p>
      <p>Identify entities and relationships of the clinical Tuberculosis
disease.</p>
      <p>It identifies entities and relationships of the Tuberculosis disease
through fragments of the natural history of communicable
diseases.</p>
      <p>Identifies entities and relationships that describe a Person.</p>
      <p>Identifies entities and relationships that describe an overview of
health, with stakeholders (Person) and related parties (Diagnosis,
Disease and Treatment).</p>
      <p>It identifies entities and relationships of the most used process of
Tuberculosis Treatment, without considering resistance to
antiTB drugs.</p>
      <p>It identifies entities and relationships of the TB treatment process
used, considering resistance to anti-TB drugs.</p>
      <p>Figure 3 presents the Health Problem subontology. Its main concepts are Person and Health Problem,
which are related because a Health Problem can affect a Person, turning him/her a Person with a Health
Problem. A Health Problem can be an aggravation, or a disease and it is identified through a diagnosis.</p>
      <p>A Diagnosis can be Clinical or Epidemiological, the difference between them are the actions of each
one's approaches and their objectives. A Clinical Diagnosis aims to cure and prevent the disease in an
individual and has Treatment as its main action. The diagnosis will guide a Treatment that will be
applied by a Health Professional and offered by a Health Service10, which in turn can also offer
Prevention measures that reduce or avoid the impacts of a disease. As for the Treatment system, it can
be classified as Public or Private, depending on its payment method.</p>
      <p>At first, we visualized Treatment as a concept that relates the Person With Health Problem, the
Health Professional, the Health Problem and the Health Service. However, this is an even more complex
10 The Health Services studied and presented in this work refer to Public Health System Services in Brazil.
concept than a relationship, needing to be specialized in Treatment Public and Private and
Pharmacological and Non-Pharmacological. Because of these specializations, investigating UFO 2.0,
we realized that more than Relator, this concept fit into RelatorKind11.</p>
      <p>Diagnosis of TB, the main concept in Figure 4, is made through exams and analysis of the result of
a given exam. The Exam has a Result. The Conclusive Result helps in the diagnosis, which in turn has
types. These types are related to the Exams performed by the Person with Health Problem, which are:
Clinical Diagnoses, or those related to the collective and health promotion; Epidemiological Diagnoses;
or special diagnoses related to other diseases that may be TB comorbidities.</p>
      <p>Special diagnoses are necessary when we know that TB is the leading cause of death among people
living with HIV (PLHIV) who do not undergo the treatment properly. Therefore, when a PLHIV is
identified, it is necessary to perform a test for TB and, on the other hand, when a person is diagnosed
with TB, it is necessary to take the Rapid Test for HIV.</p>
      <p>A Person with Health Problem may be a Respiratory Symptomatic or may be a Clinically Suspected.
A Clinically Suspected Person is one who has the presence of a clinical picture compatible with TB but
not completely, or who can identify some risk factors that indicate suspicion of TB or other similar
diseases. In this case, before diagnosing the disease, it is necessary to carry out one or more exams to
assess and conclude the suspicion or discard it. The Respiratory Symptomatic is one that presents all or
part of the characteristic signs and symptoms of TB, such as dry or productive cough, with purulent or
mucoid expectoration, with or without blood in the secretions for more than 3 weeks. In these situations,
or when the diagnosis is confirmed, the Treatment will be started along with the completion of the
Compulsory Notification, which notifies a case of illness to the Public Health System. Case information
regarding the disease will assist in directing the patient's Treatment Scheme, in addition to carrying out
Exams, so that the diagnosis fits the Treatment of the Patient.</p>
      <p>The concept that was much discussed was Notification. At first to understand its own meaning in
the field of Health. Once we understood the concept, we tried to fit it into a UFO stereotype. First, we
classify it as Kind, then as SubKind. We reached a consensus that this concept is better interpreted
as Role, as there is the compulsory act of making the notification, a concept that isn’t presented
11 Due to space restrictions in the text, only the main concepts and their respective constructs were detailed.
12 Concerning some role stereotypes present in the diagram of Figure 3. To reduce noise in the visualization of the diagram, the concepts
that are associated with the representation of a complete set of Role, Relator and their relations, are hidden, highlighting the most important
concepts of this set to the domain under study.
graphically. The Relator Compulsory Notify Reporter is hidden to avoid visual overload on the
diagram.</p>
      <p>An Exam is the result of an action, which is to examine. The Exam can be classified between
Baseline Exams, which are those essential to achieve a Conclusive Result and formulate a Diagnosis of
the disease explored, or Auxiliary Exams, also known as complementary, which are those that help the
Health Professional to confirm or refute any Clinical Suspicion of a Person with a Health Problem.</p>
      <p>The Exam, in addition to the classification, has types14. The Anatomopathological Exam is used to
aid in Histopathological Diagnoses and is like a biopsy to identify M. Tuberculosis or some other
granulomatous inflammatory process that is compatible with TB. This method is used in the
investigation of pulmonary forms that present as diffuse disease and extrapulmonary forms. The
Physical Examination allows the identification of classic signs of the disease, such as weight loss. The
Tuberculin Test is an essential test to know if an individual has had contact with TB bacteria. However,
13 Concerning some role stereotypes present in the diagram of Figure 4. To reduce noise in the visualization of the diagram, the concepts
that are associated with the representation of a complete set of Role, Relator and their relations, are hidden, highlighting the most important
concepts of this set to the domain under study.
14 The types of exams explored here are the most performed, whether essential or complementary, in people seeking to diagnose Tuberculosis.
it is mostly used to diagnose Tuberculosis in its Latent phase, also known as LTBI – Latent Tuberculosis
Infection. The Rapid Test is a very common test in TB patients to detect concomitant cases of HIV. The
Radiological Examination, an examination that can sometimes be considered an Auxiliary Examination
in the Imaging Diagnosis of TB, encompasses the chest X-ray, which should be requested in every
patient with Clinically Suspected Pulmonary TB, and the chest computed tomography, which
demonstrates anatomical alterations of the affected organs or tissues, being indicated in the suspicion
of pulmonary TB, when the initial radiography is normal. The Bacteriological Examination, main in
the detection of active TB cases, which performs the collection of Samples, being the most used forms,
the sputum, and the expectoration by sputum. These Samples are used in Bacilloscopic and Sputum
Culture Examinations to provide a complete Bacteriological Diagnosis. Importantly, patients with a
positive Sputum Bacteriological Test support the TB transmission chain. Its Conclusive Result confirms
active TB in people with Clinical Suspect for TB and in Respiratory Symptomatic, identified through
the active search. The Rapid Molecular Test for TB, also known as TRM-TB, can detect dead or
nonviable bacilli. Therefore, they should not be used for Diagnosis in cases of Retreatment, either by
reentry after Abandonment or by Recurrence.</p>
      <p>TB can affect any person. However, particularly people with AIDS, advanced stage of HIV
Infection, may qualify as a Special Condition that a patient may present upon adherence or even during
treatment. Health professionals warn that the concomitant treatment of TB and HIV infection is
contraindicated, as there is a possibility of increased intolerance and Adverse Reactions to Drugs, as
illustrated in Figure 5, worsening the patient's adherence to the treatment, or causing Treatment Failure.</p>
      <p>We realize that a Person With Health Problem, in this case TB, may have some special situations
that aggravate the manifestation of TB, such as another disease or gestation. These special conditions
15 Concerning some role stereotypes present in the diagram of Figure 5. To reduce noise in the visualization of the diagram, the concepts
that are associated with the representation of a complete set of Role, Relator and their relations, are hidden, highlighting the most important
concepts of this set to the domain under study.
16 The red symbol that appears in the diagram is to signal concepts that come from other work in development and that will later be associated
with OntoTB.
had different UFO classifications because they are different situations. Thus, we had difficulty finding
what was common between them until we studied the concept of Mixin, managing to fit the term
Special Condition in the Mixin construct, finding what is common between these different concepts.</p>
      <p>We need to highlight that in the treatment of TB, in Brazil, only the Public Treatment is adopted. As
for the type, the Treatment can be classified as Non-Pharmacological and Pharmacological. The
NonPharmacological Treatment in TB is an aid to the Pharmacological Treatment, because, among other
factors, it makes possible to reduce the anxiety of the diagnosis in the patient. In Pharmacological
Treatment, the use of Drugs is made – the most used drugs are Rifampicin, Isoniazid, Pyrazinamide and
Ethambutol. These drugs are given in different combinations and dosages depending on the treatment
phase: Attack or Maintenance.</p>
      <p>Every Treatment has a Protocol to be followed and a Scheme adopted. The TB Pharmacological
Treatment Scheme, to be more effective, aims to have sterilizing activity, to have early bactericidal
activity and to prevent the emergence of resistant bacilli. The resistance of M. Tuberculosis to drugs
can be a Natural Resistance of the individual's body or an Acquired Resistance, which can come from
a previous unsuccessful treatment or from discontinuation.</p>
      <p>Treatment has different regimens, namely: Outpatient, Home and, in more serious cases, Hospital.
There is a classification in parallel to these, the Directly Observed Treatment (DOT), which can be
performed both in an Outpatient Regime and in a Domiciliary Regime. DOT is applied by Health
Professionals who closely monitor the entire Treatment, aiming at the correct use of drugs and the
success of the Treatment (Cure), seeking to avoid patient abandonment.</p>
      <p>Last but not least, quality control was a worry of SABiO process, and so, it was considered in
OntoTB construction. A technical review was applied, considering verification and validation aspects.
This was done by the technical researchers. At this moment, competency questions (as the one identified
in Table 1) was observed and their answers were sought in the ontology. Also, an extensive validation
phase was executed, and OntoTB was debated by the technical people and the Health experts. The result
was a more refined version of OntoTB, prepared for the next steps of SABiO.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Final Considerations and Future Work</title>
      <p>Other areas, in addition to Computer Science, have benefited from the use of ontologies, both for
standardizing concepts related to application domains, and for developing computational tools that help
in more accurate analysis based on the large volume of available data, as well as in aiding
decisionmaking. Thus, the present work proposed the application of SABiO for the continuation of the
construction of OntoTB, a reference ontology of Pulmonary Tuberculosis, at first visualized in [20]. An
initial quality control in conjunction with domain experts showed that OntoTB is a promising ontology,
as well as its possible applications. Its competency questions have been answered throughout the
descriptions in this text.</p>
      <p>Initially, OntoTB addressed more generic concepts of the domain, dealing with Epidemiology and
Clinic of diseases, then focused on aspects of Tuberculosis. The result can be found in the work
described in [20]. For such generated artifact, research was carried out in the literature and constant
contact with specialists in the field, so that the chosen domain was understood correctly. We believe
that this way it is a better reflection of the reality.</p>
      <p>
        OntoTB was developed from OntoSaúde [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. OntoSaúde presents an overview of the basic concepts
of Health Problems, which are explored and expanded to include concepts of Communicable Infectious
Diseases and further relating them to Pulmonary TB.
      </p>
      <p>
        OntoTB is expected to explore other Tuberculosis themes, such as Resistant Tuberculosis, Latent
Tuberculosis and Extrapulmonary Tuberculosis. The intention is to cover all the concepts of the theme
in a more specific way, in addition to presenting the social part of Public Health, such as care, reception
and treatment follow-up. This is necessary, as Tuberculosis is a social disease that is related to the
housing, sanitation, and education sectors, in addition to Health. It is also intended to expand into
different disease domains, as the proposed ontology allows this step, as well as the construction of an
automated informational tool, using, for example, the REDCap platform, as seen in OntoSaúde proposal
[
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. In addition, the aim is to intensify the use of support processes proposed in the SABiO methodology,
such as evaluation and reuse.
      </p>
      <p>The development of OntoTB was an intense learning process. And this learning went through some
difficulties, caused by mainly the complexity of the domain, such as the definition of terminology in
Health and the choice of the viewpoint that would be adopted. However, it was a worthwhile process,
as we believe that OntoTB is a tool for communication and understanding among those involved in the
diagnosis and treatment of Tuberculosis.</p>
    </sec>
    <sec id="sec-5">
      <title>5. References17</title>
      <p>17 OntoTB is based in Public System of Brazil, several of the publications used to acquire knowledge of the domain were found only in the
Brazilian Portuguese.</p>
    </sec>
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