Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.

ABSTRACT:

Background

Machine learning (ML) has been introduced in various fields of healthcare. In colorectal surgery, the role of ML has yet to be reported. In this systematic review, an overview of machine learning models predicting surgical outcomes after colorectal surgery is provided.

Methods

Databases PubMed, EMBASE, Cochrane, and Web of Science were searched for studies using machine learning models for patients undergoing colorectal surgery. To be eligible for inclusion, studies needed to apply machine learning models for patients undergoing colorectal surgery. Absence of machine learning or colorectal surgery or studies reporting on reviews, children, study abstracts were excluded. The Probast risk of bias tool was used to evaluate the methodological quality of machine learni

SUBMITTER: Bektas M 

PROVIDER: S-EPMC9636121 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature