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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Detalles Bibliográficos
Autores principales: Klang, Eyal, Freeman, Robert, Levin, Matthew A., Soffer, Shelly, Barash, Yiftach, Lahat, Adi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625306/
https://www.ncbi.nlm.nih.gov/pubmed/34829448
http://dx.doi.org/10.3390/diagnostics11112102

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625306/
https://www.ncbi.nlm.nih.gov/pubmed/34829448
http://dx.doi.org/10.3390/diagnostics11112102

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