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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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| Publicado en: | AMIA Annu Symp Proc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Medical Informatics Association
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333336/ https://ncbi.nlm.nih.gov/pubmed/28269945 |
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