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

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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Bibliographic Details
Main Authors: Myung Woo, Brooke Alhanti, Sam Lusk, Felicia Dunston, Stephen Blackwelder, Kay S. Lytle, Benjamin A. Goldstein, Armando Bedoya
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Journal of Personalized Medicine
Subjects:
machine learning
artificial intelligence
prevention
intervention
pressure injury
falls
Online Access:https://www.mdpi.com/2075-4426/10/3/104

Internet

https://www.mdpi.com/2075-4426/10/3/104

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