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Machine learning in the prediction of depression treatment outcomes: A systematic review and meta-analysis
科研成果
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期刊稿件
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探究 'Machine learning in the prediction of depression treatment outcomes: A systematic review and meta-analysis' 的科研主题。它们共同构成独一无二的指纹。
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Keyphrases
Balanced Accuracy
33%
Clinical Outcome Prediction
66%
Confidence Interval
66%
Depression Treatment
100%
Duplicate Records
33%
Estimation Accuracy
33%
Extracted Data
33%
Feature Selection
33%
Independent Replication
33%
Literature Search
33%
Machine Learning
100%
Machine Learning Applications
33%
Machine Learning Techniques
100%
Major Depressive Disorder
33%
Meta-analysis
100%
Method Validation
33%
Minimum Sample Size
33%
Mixed-effects Model
33%
Multiple Treatments
33%
Negative Relationships
33%
Non-associated
33%
Outcome Prediction
66%
Prediction Accuracy
100%
Remission
33%
Sample Pretreatment
33%
Systematic Meta-analysis
100%
Treatment Outcome
100%
Treatment Predictors
33%
Treatment Resistance
33%
Medicine and Dentistry
Major Depressive Episode
50%
Meta-Analysis
100%
Prognosis
50%
Systematic Review
100%
Treatment of Depression
100%
Psychology
Depression
100%
Meta-Analysis
100%
Systematic Review
100%
Pharmacology, Toxicology and Pharmaceutical Science
Major Depression
100%
Prognosis
100%
Remission
100%
Neuroscience
Major Depressive Disorder
50%
Meta-Analysis
100%
Treatment of Depression
100%
Economics, Econometrics and Finance
Machine Learning
100%
Systematic Review
100%