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User-Centric AI Analytics for Chronic Health Conditions Management

2024/01/09 by Aladdin Ayesh, Ayesh, Aladdin
Health Professions · #68T09 #68T99 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2 #I.2.1 #J.3 #Machine Learning (cs.LG)

paper · pdf · doi:10.48550/arxiv.2402.01652

openalex publication_date 2024/01/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The use of AI analytics in health informatics has seen a rapid growth in recent years. In this talk, we look at AI analytics use in managing chronic health conditions such as diabetes, obesity, etc. We focus on the challenges in managing these conditions especially with drug-free approaches due to the variations in individual circumstances. These variations directed the research into user-centric approach leading to variety of research questions. In this short paper, we give examples from recent and current research work and conclude with what, in our opinion, to be the next steps and some remaining open research questions.

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