Use of Machine Learning and Statistical Algorithms to Predict Hospital Length of Stay Following Colorectal Cancer Resection: A South African Pilot Study

Use of Machine Learning and Statistical Algorithms to Predict Hospital Length of Stay Following Colorectal Cancer Resection: A South African Pilot Study

The aim of this pilot study was to develop logistic regression (LR) and support vector machine (SVM) models that differentiate low from high risk for prolonged hospital length of stay (LOS) in a South African cohort of 383 colorectal cancer patients who underwent surgical resection with curative int...

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Bibliographic Details
Main Authors: Okechinyere J. Achilonu, June Fabian, Brendan Bebington, Elvira Singh, Gideon Nimako, Rene M. J. C. Eijkemans, Eustasius Musenge
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
colorectal cancer
hospital length of stay
risk factors
support vector machine
logistic regression
internal validation techniques
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.644045/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.644045/full

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