Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database

Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database

Background: Although prognostic factors associated with mortality in patients with emergency colorectal surgery have been identified, an accurate mortality risk assessment is still necessary to determine the range of therapeutic resources in accordance with the severity of patients. We established m...

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Bibliographic Details
Main Authors: Shota Akabane, Katsunori Miyake, Masao Iwagami, Kazunari Tanabe, Toshio Takagi
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Heliyon
Subjects:
Colorectal surgery
emergency surgery
Machine learning
In-hospital mortality
Prediction model
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023069037

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http://www.sciencedirect.com/science/article/pii/S2405844023069037

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