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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...
Autores principales: | Ricka, Nicolas, Pellegrin, Gauthier, Fompeyrine, Denis A., Lahutte, Bertrand, Geoffroy, Pierre A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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