Supporting long-term condition management: a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights

The prevalence of long-term conditions such as cardiovascular disease, chronic obstructive pulmonary disease (COPD), asthma, and diabetes mellitus is rising. These conditions are leading sources of premature mortality, hospital admission, and healthcare expenditure. Machine learning approaches to im...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Shane Burns, Andrew Cushing, Anna Taylor, David J. Lowe, Christopher Carlin
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Subjects:	machine learning in healthcare long-term condition management risk prediction model operationalization electronic health record data workflow framework
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2024.1458508/full