Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications

OBJECTIVES: With advances in data availability and computing capabilities, artificial intelligence and machine learning technologies have evolved rapidly in recent years. Researchers have taken advantage of these developments in healthcare informatics and created reliable tools to predict or classif...

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Detalles Bibliográficos
Autores principales: Tougui, Ilias, Jilbab, Abdelilah, El Mhamdi, Jamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369053/
https://www.ncbi.nlm.nih.gov/pubmed/34384201
http://dx.doi.org/10.4258/hir.2021.27.3.189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369053/
https://www.ncbi.nlm.nih.gov/pubmed/34384201
http://dx.doi.org/10.4258/hir.2021.27.3.189

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