Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance

Incorporating expert knowledge at the time machine learning models are trained holds promise for producing models that are easier to interpret. The main objectives of this study were to use a feature engineering approach to incorporate clinical expert knowledge prior to applying machine learning tec...

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Detalles Bibliográficos
Autores principales: Roe, Kenneth D., Jawa, Vibhu, Zhang, Xiaohan, Chute, Christopher G., Epstein, Jeremy A., Matelsky, Jordan, Shpitser, Ilya, Taylor, Casey Overby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179831/
https://www.ncbi.nlm.nih.gov/pubmed/32324754
http://dx.doi.org/10.1371/journal.pone.0231300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179831/
https://www.ncbi.nlm.nih.gov/pubmed/32324754
http://dx.doi.org/10.1371/journal.pone.0231300

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