Machine learning models and over-fitting considerations-Reference-Cited by-同舟云学术

Machine learning models and over-fitting considerations

Published:2022-02-07 Issue:5 Volume:28 Page:605-607
ISSN:1007-9327
Container-title:World Journal of Gastroenterology
language:
Short-container-title:WJG

Author:

Charilaou Paris,Battat Robert

Publisher

Baishideng Publishing Group Inc.

Subject

Gastroenterology,General Medicine

Reference7 articles.

1. Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study

2. Cawley GC, Talbot NLC. On over-fitting in model selection and subsequent selection bias in performance evaluation. J Mach Learn Res 2010; 11: 2079-2107

3. A simulation study of the number of events per variable in logistic regression analysis

4. C-Reactive Protein, Fecal Calprotectin, and Stool Lactoferrin for Detection of Endoscopic Activity in Symptomatic Inflammatory Bowel Disease Patients: A Systematic Review and Meta-Analysis

5. STRIDE-II: An Update on the Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE) Initiative of the International Organization for the Study of IBD (IOIBD): Determining Therapeutic Goals for Treat-to-Target strategies in IBD

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