Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

BACKGROUND: Incomplete suicidality coding in administrative claims data is a known obstacle for observational studies. With most of the negative outcomes missing from the data, it is challenging to assess the evidence on treatment strategies for the prevention of self-harm in bipolar disorder (BD),...

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發表在:JMIR Ment Health
Main Authors: Nestsiarovich, Anastasiya, Kumar, Praveen, Lauve, Nicolas Raymond, Hurwitz, Nathaniel G, Mazurie, Aurélien J, Cannon, Daniel C, Zhu, Yiliang, Nelson, Stuart James, Crisanti, Annette S, Kerner, Berit, Tohen, Mauricio, Perkins, Douglas J, Lambert, Christophe Gerard
格式: Artigo
語言:Inglês
出版: JMIR Publications 2021
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Original Paper
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC8100888/
https://ncbi.nlm.nih.gov/pubmed/33688834
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/24522
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