Predictive health index: integrating body composition and heart rate variability metrics with artificial intelligence to predict chronic disease risk and specific chronic non-communicable diseases
The acquired information could be extremely helpful for strengthening lifestyle measures and intervening early to prevent or reverse disease development.
Authors
- Andrea Gallotta (ORCID: https://orcid.org/0000-0003-1471-113X)
- Konstantina Dragoumani (ORCID: https://orcid.org/0009-0001-8388-6964)
- Dimitriοs Vlachakis (ORCID: https://orcid.org/0000-0003-1823-6102)
- George Panagiotis Chrousos (ORCID: https://orcid.org/0000-0002-3098-5264)
- Dario Boschiero (ORCID: https://orcid.org/0000-0003-4223-3710)
- George Ι. Lambrou (ORCID: https://orcid.org/0000-0001-8389-1360)
- Francesca Ferrari
Institutions
- Agricultural University of Athens (GR)
- King's College London (GB)
- National and Kapodistrian University of Athens (GR)
Publication Details
- Journal
- HORMONES
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1007/s42000-025-00727-2
- Citations
- 1
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National and Kapodistrian University of Athens
- Agricultural University of Athens