Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors.
Journal:
BMC health services research
PMID:
40075408
Abstract
OBJECTIVE: Predicting healthcare demand is essential for effective resource allocation and planning. This study applies Andersen's Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022 Turkey Health Survey by TUIK. Machine learning methods provide a powerful approach to analyze these factors and their combined impact on healthcare utilization, offering valuable insights for health policy.