Improving risk prediction for target subpopulations: Predicting suicidal behaviors among multiple sc...
Improving risk prediction for target subpopulations: Predicting suicidal behaviors among multiple sclerosis patients
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Several recent studies have applied machine learning techniques to develop risk algorithms that predict subsequent suicidal behavior based on electronic health record data. In this study we used a retrospective cohort study design to test whether developing more tailored predictive models-within specific subpopulations of patients-would improve pre...
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Full title
Improving risk prediction for target subpopulations: Predicting suicidal behaviors among multiple sclerosis patients
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TN_cdi_plos_journals_2777358691
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2777358691
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0277483
