Open AccessPredicting Depression Severity by Multi-Modal Feature Engineering and Fusion
Author(s) -
Aven Samareh,
Yan Jin,
Zhangyang Wang,
Xiangyu Chang,
Shuai Huang
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.12152
Subject(s) - modal , depression (economics) , modalities , margin (machine learning) , modality (human–computer interaction) , baseline (sea) , feature (linguistics) , computer science , patient health questionnaire , artificial intelligence , scale (ratio) , psychology , machine learning , speech recognition , depressive symptoms , linguistics , psychiatry , cartography , social science , philosophy , macroeconomics , anxiety , chemistry , oceanography , sociology , geology , polymer chemistry , economics , geography
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