Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder

This work proposes a “learning-augmented clinical assessment” workflow to sequentially augment physician assessments of patients’ symptoms and their socio-demographic measures with heterogeneous biological measures to accurately predict treatment outcomes using machine learning. Across many psychiat...

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Publicado en:IEEE Comput Intell Mag
Autores principales: Athreya, Arjun, Iyer, Ravishankar, Neavin, Drew, Wang, Liewei, Weinshilboum, Richard, Kaddurah-Daouk, Rima, Rush, John, Frye, Mark, Bobo, William
Formato: Artigo
Lenguaje:Inglês
Publicado: 2018
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6241311/
https://ncbi.nlm.nih.gov/pubmed/30467458
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/MCI.2018.2840660
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