Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning

Major Depressive Disorder (MDD) has heterogeneous manifestations, leading to difficulties in predicting the evolution of the disease and in patient's follow-up. We aimed to develop a machine learning algorithm that identifies a biosignature to provide a clinical score of depressive symptoms usi...

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Detalles Bibliográficos
Autores principales: Ricka, Nicolas, Pellegrin, Gauthier, Fompeyrine, Denis A., Lahutte, Bertrand, Geoffroy, Pierre A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130089/
https://www.ncbi.nlm.nih.gov/pubmed/37185788
http://dx.doi.org/10.1038/s41598-023-33359-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130089/
https://www.ncbi.nlm.nih.gov/pubmed/37185788
http://dx.doi.org/10.1038/s41598-023-33359-w

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