Mitigating Bias in Clinical Machine Learning Models
Mitigating Bias in Clinical Machine Learning Models
About this item
Full title
Mitigating Bias in Clinical Machine Learning Models
Author / Creator
Publisher
New York: Springer US
Journal title
Current treatment options in cardiovascular medicine, 2024-03, Vol.26 (3), p.29-45
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Purpose of review
Identifying the risk for and addressing bias in clinical machine learning models is essential to reap its full benefits and ensure health equity. We provide a review of the machine learning landscape in clinical medicine, highlight ethical concerns with a particular focus on algorithmic bias, and offer a framework for mitigatin...
Alternative Titles
Full title
Mitigating Bias in Clinical Machine Learning Models
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2930208335
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2930208335
Other Identifiers
ISSN
1092-8464
E-ISSN
1534-3189
DOI
10.1007/s11936-023-01032-0
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