chronic health condition
User-Centric AI Analytics for Chronic Health Conditions Management
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.
2402.01652
Country:
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.05)
- North America > United States (0.04)
- North America > Canada > Nova Scotia > Halifax Regional Municipality > Halifax (0.04)
Industry:
- Health & Medicine > Consumer Health (1.00)
- Health & Medicine > Therapeutic Area > Endocrinology > Diabetes (0.52)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning (0.96)
- Information Technology > Artificial Intelligence > Cognitive Science (0.94)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.70)
- Information Technology > Human Computer Interaction > Interfaces (0.70)