Evaluation of ML-Based Clinical Decision Support Tool to Replace an Existing Tool in an Academic Health System: Lessons Learned

There is increasing application of machine learning tools to problems in healthcare, with an ultimate goal to improve patient safety and health outcomes. When applied appropriately, machine learning tools can augment clinical care provided to patients. However, even if a model has impressive perform...

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Detalles Bibliográficos
Autores principales: Woo, Myung, Alhanti, Brooke, Lusk, Sam, Dunston, Felicia, Blackwelder, Stephen, Lytle, Kay S., Goldstein, Benjamin A., Bedoya, Armando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565401/
https://www.ncbi.nlm.nih.gov/pubmed/32867023
http://dx.doi.org/10.3390/jpm10030104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565401/
https://www.ncbi.nlm.nih.gov/pubmed/32867023
http://dx.doi.org/10.3390/jpm10030104

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