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...
| 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: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1458508/full |
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