Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Abstract Generalized anxiety disorder (GAD) and major depressive disorder (MDD) are highly prevalent and impairing problems, but frequently go undetected, leading to substantial treatment delays. Electronic health records (EHRs) collect a great deal of biometric markers and patient characteristics t...

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Autores principales: Matthew D. Nemesure, Michael V. Heinz, Raphael Huang, Nicholas C. Jacobson
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
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Science
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Acceso en línea:https://doaj.org/article/7a3200ae1e9343eba56d585102237a2c
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