Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification

Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification

Depression is a burdensome psychiatric disease common in low and middle income countries causing disability, morbidity and mortality in late life. In this study, we demonstrate a novel approach for detection of depression using clinical data obtained from the on-going Mysore Studies of Natal effects...

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Bibliographic Details
Main Authors: Vanishri Arun, Murali Krishna, B.V. Arunkumar, S.K. Padma, V. Shyam
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2018-12-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Depression
MYNAH Cohort
Neural Network
Particle Swarm Optimization
Projection-based Learning
XGBoost
Online Access:http://www.ijimai.org/journal/node/2646

Internet

http://www.ijimai.org/journal/node/2646

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