Pengembangan model prediksi drug related problems menggunakan machine learning pada pasien geriatri dengan polifarmasi
Background: Drug Related Problems (DRPs) are a major cause of reduced therapeutic quality, prolonged hospital stays, and high healthcare costs among geriatric patients. Polypharmacy and multimorbidity increase therapeutic complexity, necessitating predictive methods capable of early identification of high-risk patients...