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),...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:JMIR Ment Health
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: JMIR Publications 2021
Témata:
Original Paper
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky