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Machine Learning on Early Diagnosis of Depression
Kwang Sig Lee,
Byung Joo Ham
*
*
Corresponding author for this work
Department of Biomedical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
28
Citations (Scopus)
Overview
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Keyphrases
Area under the Receiver Operating Characteristic Curve
20%
Artificial Neural Network
40%
Decision Support System
20%
Decision Tree
20%
Depression Diagnosis
100%
Early Diagnosis
100%
Genomic Data
20%
Language of Publication
20%
Logistic Regression
20%
Machine Learning
100%
Machine Learning Techniques
20%
Major Depressive Disorder
20%
Nave Bayesian
20%
Numeric Data
20%
Performance Measures
20%
Psychiatry
20%
Publication Year
20%
Random Forest
80%
Search Terms
20%
Support Vector Machine
40%
Web of Science
20%
Immunology and Microbiology
Artificial Neural Network
50%
Decision Trees
25%
Mianserin
25%
Random Forest
100%
Support Vector Machine
50%
Web of Science
25%
Psychology
Dependent Variable
50%
Depression
50%
Neural Network
100%
Chemical Engineering
Learning System
100%
Neural Network
40%
Support Vector Machine
40%
Neuroscience
Mianserin
50%