Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparati...
Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population
About this item
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Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Background
Inadequate bowel preparation undermines the quality of colonoscopy, but patients likely to be affected are difficult to identify beforehand.
Aims
This study aimed to develop, validate, and compare prediction models for bowel preparation inadequacy using conventional logistic regression (LR) and random forest machine learning (RF...
Alternative Titles
Full title
Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2545594464
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2545594464
Other Identifiers
ISSN
0163-2116
E-ISSN
1573-2568
DOI
10.1007/s10620-021-07113-z
