Machine Learning in Major Depression: from Classification to Treatment Outcome Prediction.

By Shuang Gao, Vince D. Calhoun, Jing Sui. CNS Neuroscience & Therapeutics, 2018

318 citations recorded by the source corpus.

Major depression disorder (MDD) is the single greatest cause of disability and morbidity, and affects about 10% of the population worldwide. Currently, there are no clinically useful diagnostic biomarkers that are able to confirm a diagnosis of MDD from bipolar disorder (BD) in the early depressive episode. Therefore, exploring translational biomarkers of mood disorders based on machine learning is in pressing need, though it is challenging, but with great potential to improve our understanding of these disorders.

Subfields: Applied Psychology, Pharmacology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/62313ccb5c888c1996b356c01ae911a889e5d40b