Improving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services Data

Depression, despite its high prevalence, remains severely under-diagnosed across the healthcare system. This demands the development of data-driven approaches that can help screen patients who are at a high risk of depression. In this work, we develop depression risk prediction models that incorpora...

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Bibliografische gegevens
Gepubliceerd in:AMIA Annu Symp Proc
Hoofdauteurs: Kim, Min-hyung, Banerjee, Samprit, Park, Sang Min, Pathak, Jyotishman
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Medical Informatics Association 2017
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Articles
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5333336/
https://ncbi.nlm.nih.gov/pubmed/28269945
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