Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department—A Proof of Concept Study

Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department—A Proof of Concept Study

Background & Aims: We aimed at identifying specific emergency department (ED) risk factors for developing complicated acute diverticulitis (AD) and evaluate a machine learning model (ML) for predicting complicated AD. Methods: We analyzed data retrieved from unselected consecutive large bowel AD...

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Bibliographic Details
Main Authors: Eyal Klang, Robert Freeman, Matthew A. Levin, Shelly Soffer, Yiftach Barash, Adi Lahat
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Diagnostics
Subjects:
machine learning
artificial intelligence
acute diverticulitis
outcome prediction
emergency
complications
Online Access:https://www.mdpi.com/2075-4418/11/11/2102

Internet

https://www.mdpi.com/2075-4418/11/11/2102

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