Use of machine learning to predict abandonment rates in an emergency department
Overcrowding is a serious issue that Emergency Departments (EDs) must deal with, since it
is leading to longer delays and greater patients' dissatisfaction, which are directly connected …
is leading to longer delays and greater patients' dissatisfaction, which are directly connected …
Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study
A critical problem that Emergency Departments (EDs) must address is overcrowding, as it
causes extended waiting times and increased patient dissatisfaction, both of which are …
causes extended waiting times and increased patient dissatisfaction, both of which are …
Modelling the length of hospital stay after knee replacement surgery through Machine Learning and Multiple Linear Regression at “San Giovanni di Dio e Ruggi d' …
Knee arthroplasty is one of the most commonly performed procedures within a hospital. The
progressive aging of the population and the spread of clinical conditions such as obesity will …
progressive aging of the population and the spread of clinical conditions such as obesity will …
A predictive modeling approach for Taiwanese diagnosis-related groups medical costs: A focus on laparoscopic appendectomy
JM Wu, AC Tung, SS Tsou - Tungs' Medical Journal, 2024 - journals.lww.com
Background: In the Taiwanese diagnosis-related groups (Tw-DRGs) system, effective
management of medical resources is vital to ensure the sustainability of hospital operations …
management of medical resources is vital to ensure the sustainability of hospital operations …