Inferring high-fat dietary patterns from electronic health record data using machine learning
A high-fat dietary pattern can be inferred from EHR-compatible variables using ML-based phenotyping. This approach offers a scalable tool to integrate diet into EHR-based research and precision medicine.
Authors
- S. Brian Jiang
- JIANG BIAN
- Jingchuan Guo
- Ya-Yun Yeh
- Hao Dai
- Hsin-Yueh Lin
- Ramon C Sun
Institutions
- Indiana University Health (US)
- Beth Israel Deaconess Medical Center (US)
- Regenstrief Institute (US)
- University of Indianapolis (US)
- University of Florida (US)
- Indiana University – Purdue University Indianapolis (US)
- Florida College (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1093/jamiaopen/ooaf181
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00