AIMC Topic: Depressive Disorder, Major

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Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample.

The Journal of clinical psychiatry Jan 1, 2018
OBJECTIVE: The study objective was to generate a prediction model for treatment-resistant depression (TRD) using machine learning featuring a large set of 47 clinical and sociodemographic predictors of treatment outcome.
Middle Aged Depressive Disorder, Major Male Antidepressive Agents Depressive Disorder, Treatment-Resistant Treatment Outcome Models, Statistical Machine Learning Forecasting Female Adult Humans
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Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests.

Bioinformatics (Oxford, England) Sep 15, 2017
MOTIVATION: Classification of individuals into disease or clinical categories from high-dimensional biological data with low prediction error is an important challenge of statistical learning in bioinformatics. Feature selection can improve classific...
Humans Machine Learning Computational Biology Models, Biological Software Depressive Disorder, Major Classification Privacy
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Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

JAMA psychiatry Jun 1, 2016
IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict a response to ECT remain unidentified.
Electroconvulsive Therapy Predictive Value of Tests Combined Modality Therapy Antidepressive Agents Gyrus Cinguli Treatment Outcome Magnetic Resonance Imaging Depressive Disorder, Major Humans Female Adult Male Middle Aged Machine Learning Prospective Studies Biomarkers
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A clinical perspective on the relevance of research domain criteria in electronic health records.

The American journal of psychiatry Apr 1, 2015
OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatric syndromes, and its poor correspondence to underlying neurobiology, have been well established. The Research Domain Criteria (RDoC), a proposed dime...
Information Storage and Retrieval Models, Psychological Schizophrenic Psychology Psychotic Disorders Female Adult Mental Disorders Male Patient Readmission Cohort Studies Reproducibility of Results Electronic Health Records Risk Factors Schizophrenia Middle Aged Natural Language Processing Humans Hospitalization Depressive Disorder, Major Length of Stay
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