A novel AIDS/HIV intelligent medical consulting system based on expert systems

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Public Health Informatics

Background:

• Acquired Immunodeficiency Syndrome/Human Immunodeficiency Virus (AIDS/HIV) presents a significant public health challenge.
• Effective information dissemination and consulting services are crucial for managing AIDS/HIV.
• Existing consulting systems may lack intelligent capabilities for personalized user support.

Purpose of the Study:

• To propose and develop a novel intelligent model for AIDS/HIV data.
• To create an intelligent medical consulting system for AIDS/HIV using the developed model.
• To enhance user access to accurate and relevant AIDS/HIV information.

Main Methods:

• A descriptive research approach was employed, gathering 752 frequently asked questions (FAQs) on AIDS/HIV.
• The CRISP-DM methodology (6 stages) was utilized for data mining and model extraction.
• The C5.0 Tree classification algorithm was used for modeling, and the Rational Unified Process (RUP) for software development.

Main Results:

• An intelligent web-based medical consulting system for AIDS/HIV was successfully developed.
• The system utilizes an intelligent model to display ranked FAQs based on client inquiries and keywords.
• The estimated accuracy of the developed AIDS/HIV consulting system is 78.76%.

Conclusions:

• The developed AIDS/HIV medical consulting system is unique due to its intelligent infrastructure and personalized services.
• The system provides systematic textual data consulting and supplementary services based on user activity.
• The research received approval from the Iranian Ministry of Health and Medical Education for its practical applicability.