How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection

Predicting treatment dropout after antidepressant initiation

(2020) Melanie F. Pradier et al.   Translational Psychiatry

Machine learning in mental health: a scoping review of methods and applications

(2019) Adrian B. R. Shatte et al.   PSYCHOLOGICAL MEDICINE

Deep neural networks in psychiatry

(2019) Daniel Durstewitz et al.   MOLECULAR PSYCHIATRY

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

Treatment Selection in Depression

(2018) Zachary D. Cohen et al.   Annual Review of Clinical Psychology

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

The Development of Kraepelin’s Mature Diagnostic Concepts of Paranoia (Die Verrücktheit) and Paranoid Dementia Praecox (Dementia Paranoides)

(2018) Kenneth S. Kendler   JAMA Psychiatry

Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration

(2017) Ronald C. Kessler et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

The effect of treatment as usual on major depressive disorder: A meta-analysis

(2017) Spyros Kolovos et al.   JOURNAL OF AFFECTIVE DISORDERS

The perilous path from publication to practice

(2017) A M Chekroud et al.   MOLECULAR PSYCHIATRY

Reevaluating the Efficacy and Predictability of Antidepressant Treatments

(2017) Adam M. Chekroud et al.   JAMA Psychiatry

Systematic Review of Clinical Practice Guidelines for Failed Antidepressant Treatment Response in Major Depressive Disorder, Dysthymia, and Subthreshold Depression in Adults

(2016) Glenda MacQueen et al.   CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder

(2016) Sidney H. Kennedy et al.   CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE

Predictive analytics in mental health: applications, guidelines, challenges and perspectives

(2016) T Hahn et al.   MOLECULAR PSYCHIATRY

Abandoning personalization to get to precision in the pharmacotherapy of depression

(2016) Roy H. Perlis   World Psychiatry

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

(2016) Ronny Redlich et al.   JAMA Psychiatry

A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder

(2013) Roy H. Perlis   BIOLOGICAL PSYCHIATRY

Cigarette Smoking Among Persons With Schizophrenia or Bipolar Disorder in Routine Clinical Settings, 1999–2011

(2013) Faith Dickerson et al.   PSYCHIATRIC SERVICES