Comparing Logistic Regression and Artificial Neural Network Models for Analyzing Medicare Utilization and Costs Among Older Adults
Both logistic regression and ANN models effectively predict health care utilization and high-risk outcomes among older adults using structured Medicare data. Logistic regression offers interpretability and robust predictive power, whereas ANN models may provide additional value as healthcare datasets grow increasingly complex and comprehensive.
Authors
- Min Qi Wang
- Jie Chen
- Seyeon Jang
Institutions
- Public Health Department (IN)
- Integrated Optoelectronics (Norway) (NO)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Medical Care
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1097/mlr.0000000000002305
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00