Dennis K. Muriithi , Edna Chebet Too and Saif Kinyori
P. O. Box 109-60400, Chuka, Kenya, Center for Data Analytics and Modeling,
Faculty of Science and Technology, Chuka University
Email: dkariuki@chuka.ac.ke ; echebet@chuka.ac.ke ; skinyori@chuka.ac.ke
To develop an AfyaAI (AI-driven system) for the early detection and risk assessment of malaria, diabetes, and hypertension in Kenya, aiming to improve healthcare access, decrease diagnostic delays, and help individuals find high-quality health information and better understand their health status.
Complex medical health data will be collected from County referral hospitals in Kenya. A survey will be executed using Google Forms with healthcare professionals and patients to grasp their views and requirements. An App will be developed based on the best machine learning algorithm and XAI that will be hosted via Google tools and accessible through mobile phones and referral hospital ICT systems in Kenya. It will make healthcare accessible and reduce long queues and waiting times in diabetes and hypertension clinics in Kenya. The AfyaAI App will be deployed in selected healthcare centers to assess its precision, dependability, user-friendliness and effectiveness against conventional diagnostic techniques.
AfyaAI project is intended for the public good. Therefore, the AfyaAI App will be used by individuals, patients and medical personnel for early detection of the risk of malaria, diabetes and Hypertension and possible preventive measures. The project details such as research code, and datasets will be made available to the public as per the Kenya Data Protection Act. The results of the project will be disseminated through publication in open-access journals.