Article ; Online: Machine Learning and Health Care: Potential Benefits and Issues.
The Journal of ambulatory care management
2023 Volume 46, Issue 2, Page(s) 114–120
Abstract: We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve health care, while detailing caveats and important considerations to ensure unbiased and equitable implementation. If disparities exist in the data used to ... ...
Abstract | We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve health care, while detailing caveats and important considerations to ensure unbiased and equitable implementation. If disparities exist in the data used to train ML algorithms, they must be recognized and accounted for, so they do not bias performance accuracy or are not interpreted by the algorithm as simply a lack of need. We pay particular attention to an area in which bias in data composition is particularly striking, that is in large-scale genetics databases, as people of European descent are vastly overrepresented in the existing resources. |
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MeSH term(s) | Humans ; Artificial Intelligence ; Machine Learning ; Algorithms ; Delivery of Health Care |
Language | English |
Publishing date | 2023-01-18 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural |
ZDB-ID | 198845-1 |
ISSN | 1550-3267 ; 0148-9917 |
ISSN (online) | 1550-3267 |
ISSN | 0148-9917 |
DOI | 10.1097/JAC.0000000000000453 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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