Factors affecting the prediction of health care costs in cardiovascular patients using artificial intelligence tools: a systematic review of regression and machine learning approaches
The most significant factors influencing health care costs were age, gender, type of cardiovascular procedure, comorbidities, length of hospitalization, and complications, while machine learning models showed superior accuracy in some studies compared with traditional regression methods for predicting healthcare costs...