Medical online help desk is authoritative and popular service for the online communication concerning medical issues. In critical situations people often rely on online services to get medical-related information and answers. Because of the possible risks, it is highly important that they do not receive or use false information. That's the reason to filter false, unreliable or commercial information and discover forum-users that provide such information. On the other hand it would be positive thing to determine users that give competent and adequate advices. Such users' classification will help online community's administration to moderate community and will help users to get correct information. This method of classification of medical online help desk users was tested on medical online communities.
In critical situations people often rely on online services to get medical-related information and answers. Because of the possible risks, it is highly important that they do not receive or use false information. That’s the reason to filter false, unreliable or commercial information and discover forum-users that provide such information. On the other hand it would be positive thing to determine users that give competent and adequate advices. 48% internet users trust the information that is posted in a webcommunity. develope the method of classification of medical online help desk users determine medical online helpdesk users that give competent and adequate advices method of classification of medical online help desk users tested on medical online communities
Classes of Medical Online Helpdesk Users
The membership of the users in one of the 5 classes: Patient, Professional, Disruptive, Medic, Critic, Reader.
Such users’ classification will help medical online community’s administration to moderate community and will help users to get correct information. This method of classification of medical online help desk users was tested on medical online communities.
The development of methods for behavioral classification of users of medical online helpdesk in the scheme is presented.
Modern research on social processes in the WWW covers the following areas are: users’ needs satisfaction, communication systems and formation and management of medical online helpdesk.
Data fusion techniques, namely fuzzy logic, are employed to process the captured data to increase the trust level of classification. Fuzzy logic has been used in applications that are amenable to conventional control algorithms on the basis of mathematical models of the system being controlled. However, fuzzy logic has a particular advantage in areas where precise mathematical description of the control process is impossible and is thus especially suited to support medical decision making. A fuzzy logic–based approach to the automatic classification of helpdesk users. Fuzzy logic plays an important role in some medicine areas is developed. For example: To predict the response to have treatment with citalopram in alcohol dependence; To analyze diabetic neuropathy; To detect early diabetic retinopathy; To improve decision-making in process low medium high P1, P2 P3
P4
P5
P6
P7
P8
P9
P10
P11, P12 x
Rules for Classifying Medical Online Helpdesk Users
The membership of the users in one of the classes (Patient, Professional, Disruptive, Medic, Critic, Reader) based on its characteristics (Activity, Creativity, Attraction, Reactivity, Loyalty) is represented by production rules and table. It is important to determine the characteristics of medical online helpdesk users at the thematic level of the entire helpdesk. 6
Algorithm of Classifying Medical Online Helpdesk Users 5
Entity Relationship Diagram of Medical Online Helpdesk
Sheme of the Classifying Users in Medical Online Helpdesk Available research methods are reduced to a fragmentary solution to the problem, they are theoretical and the results of these studies are mostly not tested in practice. 7
Sheme of the Classifying Users in Medical Online Helpdesk 9
Results of Classification Medical Online Helpdesk Users
So, we set the main characteristics of the users within the entire helpdesk. Defining these characteristics allows users to classify the user of medical online helpdesk and based on this classification, build community management methods and algorithms to remove unwanted helpdesk users from the creators, which will ensure its improvement.
Results of Classification Medical Online Helpdesk Users
The key idea of this study is modelling the behavior classification of users of medical online helpdesk by using fuzzy logic approach. Implantation of mathematical concepts based on fuzzy logic is a solution to complex problems in all areas of science as it method of human reasoning and decision making. The fuzzy logic approach is acceptable for the problems that required high accuracy.
Developed methods for determining the main characteristics of the users of the medical online helpdesk: professionalism; reputatitiveness; attractiveness; reactiveness; activeness.
The classes of users of medical online helpdesk are allocated and the rules of classification of users are formulated.