Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Predic...
Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study
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Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
Journal title
Language
English
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Publication information
Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
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Scope and Contents
Contents
Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depression. Although prompt recognition of depression conversion to bipolar disorder is needed, early prediction is challenging due to overlapping symptoms. Recently, there have been attempts to develop a prediction...
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Full title
Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study
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TN_cdi_doaj_primary_oai_doaj_org_article_b8a9dbc9590b46429d00e1bf393a22c4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b8a9dbc9590b46429d00e1bf393a22c4
Other Identifiers
ISSN
1438-8871,1439-4456
E-ISSN
1438-8871
DOI
10.2196/46165
