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

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 that could...

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Detalles Bibliográficos
Autores principales: Nemesure, Matthew D., Heinz, Michael V., Huang, Raphael, Jacobson, Nicholas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820000/
https://www.ncbi.nlm.nih.gov/pubmed/33479383
http://dx.doi.org/10.1038/s41598-021-81368-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820000/
https://www.ncbi.nlm.nih.gov/pubmed/33479383
http://dx.doi.org/10.1038/s41598-021-81368-4

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