HIV Patient Monitoring Framework Through Knowledge Engineering

摘要: Uganda has registered more than a million deaths since the HIV virus was first offi¬cially reported in country over 3 decades ago. The governments partnership with different groups have implemented programmes to address epidemic. support from donors and reduction prices of treatment resulted focus on antiretroviral therapy access those affected. Presently only quarter approximately 1 infected by are undergoing therapy. number patients pause challenge monitoring given overall resource needs for health care country. Furthermore numbers set increase addition stringent requirements tracking each individual patient during This research aimed at developing framework adopting knowledge engineering information systems HIV/AIDS patients. An open source approach adopted due constrained context study ensure cost effec¬tive sustainable solution. motivated inconclusive literature dimensional models data warehouses mining monitor¬ing phase involved situational analysis strengths, weaknesses opportunities system adopt bases done. It proposed model implementing warehouse focused second development base inform an warehouse, its simulation testing. interdisciplinary collaboration between stakeholders domain participatory action methodology. identification most appropriate technologies foster this collabora¬tion. Analysis done how can take ownership basic architecture as their expertise grow managing make changes reflect even better results out functionality. Data simulations which two machine learning algorithms (regression classification) were developed tested using warehouse. used predict viral load CD4 count test figures classify cases failure 83% accu¬racy. additionally presents moni¬toring status care. showing integration components including platform user interac-tion is presented.