Development and Evaluation of a Machine Learning Model for Predicting 30-Day Readmission in General Internal Medicine

Development and Evaluation of a Machine Learning Model for Predicting 30-Day Readmission in General Internal Medicine

<b>Background/Objectives:</b> Hospital readmissions within 30 days are a major challenge in general internal medicine (GIM), impacting patient outcomes and healthcare costs. This study aimed to develop and evaluate machine learning (ML) models for predicting 30-day readmissions in patien...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullah M. Al Alawi, Mariya Al Abdali, Al Zahraa Ahmed Al Mezeini, Thuraiya Al Rawahia, Eid Al Amri, Maisam Al Salmani, Zubaida Al-Falahi, Adhari Al Zaabi, Amira Al Aamri, Hatem Al Farhan, Juhaina Salim Al Maqbali
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computers
Subjects:
general internal medicine
readmission
machine learning
ensemble model
predictive analytics
Oman
Online Access:https://www.mdpi.com/2073-431X/14/5/177
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-431X/14/5/177

Similar Items