We have developed a logical database implemented in Prolog language as auxiliary in the diagnosis of causes and consequences of aging processes. We have designed some belief networks to relate diseases and its consequences, aging processes and prevention processes into a Logical database system oriented to general purposes.
60 years and over (8.1% of the total population), and it has been projected that
there will be 17.5 million (12.4%) by 2025 and 35.7 million (24.3%) by 2050 [
In figure 1 is shown the main diseases causing death in M´exico in 2010, and for each one of those diseases what is the average affecting only to old people.
In order to design a system for geriatric purposes, we are building a database containing information about causes and consequences of the aging processes. We have considered five aging processes, which are: Oxidation by free Radicals, Silent Inflamation, Glycosylation, Descent of hormonal levels and Mitochondrial Deterioration. In a first stage of our system, we have designed an Entity-relationship model relating illnesses which are known to be associated with each one of the aging processes. Currently, those relational models are being refined as belief networks. 3.
Bayesian networks with their associated methods are especially suited for
capturing and reasoning with uncertainty. They have been around in biomedicine
and health-care for more than a decade now and have become increasingly
popular for handling the uncertain knowledge involved in establishing diagnoses of
disease, in selecting optimal treatment alternatives, and predicting treatment
outcome in various different areas [
In our system, we have expressed the set of relations that will be expressed as logical rules in Prolog. The system contains all logical relationships between objects to subsequently determine the functions of conditional probabilities.As the goal is to build a series of facts and rules written as prolog rules, the belief network allow us to represent in a graphic way such logical rules. We are refining the belief networks at different levels among aging processes, common diseases in the elderly, causes, effects and methods of preventions for such diseases. 4.
Given that people older than 60 years-old show a high vulnerability, it is important to consider the services for this sector. The system that we are developing can be used as a support to increase a culture in the prevention of degenerative diseases affecting to that population, because knowing which are the factors of risk, allow them to correct their lifestyle.
We have designed some belief networks to relate degenerative diseases and its consequences, aging processes and aged care processes into a Logical database system oriented to general purposes. Such Database is written in Prolog languaje.