Back to search

Article

Development and Validation of a Machine-Learning Model for Predicting Prognosis in Critically Ill Patients Undergoing Major Surgery

2024-12-17

Abstract excerpt

<title>Abstract</title> <p>Background Major surgery can result in elevated mortality rates, poorer prognoses, and extended hospital stays. This study sought to develop and validate an effective machine-learning model capable of accurately forecasting outcomes in critically ill patients who have undergone major surgery. Methods Using the publicly accessible Medical Information Mart for Intensive Care (MIMIC)-IV...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f7db189f-ca6c-5c61-98b9-f55665b93f95
DOI
10.21203/rs.3.rs-5411439/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and Validation of a Machine-Learning Model for Predicting Prognosis in Critically Ill Patients Undergoing Major SurgeryDOI 10.21203/rs.3.rs-5411439/v1
Select a neighboring publication to make it the new centre.