Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Background Unwarranted extended length of stay (LOS) increases the risk of hospital-
acquired complications, morbidity, and all-cause mortality and needs to be recognized and …

Background Governments worldwide are facing growing pressure to increase transparency,
as citizens demand greater insight into decision-making processes and public spending. An …

Predicting inpatient length of stay (LoS) is important for hospitals aiming to improve service
efficiency and enhance management capabilities. Patient medical records are strongly …

ABSTRACT Introduction: Prolonged Hospital Length of Stay (PLOS) is an indicator of
deteriorated efficiency in Quality of Care. One goal of public health management is to reduce …

The field of health services research studies the health care system by examining outcomes
relevant to patients and clinicians but also health economists and policy makers. Such …

Objective This study aims to develop high-performing Machine Learning and Deep Learning
models in predicting hospital length of stay (LOS) while enhancing interpretability. We …

The length of hospital stay (LOS) is a significant indicator of the quality of patient care,
hospital efficiency, and operational resilience. Considering the importance of LOS in …

Objective Systematic review of length of stay (LOS) prediction models to assess the study
methods (including prediction variables), study quality, and performance of predictive …

The influx of hospital patients has become common in recent years. Hospital management
departments need to redeploy healthcare resources to meet the massive medical needs of …