Instagram photos reveal predictive markers of depression
Article, Preprint
English
OPEN
Andrew G Reece
;
Christopher M Danforth
(2017)
- Publisher: SpringerOpen
-
Journal:
EPJ Data Science
(issn: 2193-1127)
-
Related identifiers:
doi: 10.1140/epjds/s13688-017-0110-z
-
Subject:
R858-859.7 | Computer applications to medicine. Medical informatics | Computer Science - Social and Information Networks | psychology | Physics - Physics and Society | depression | machine learning | social media | computational social science
Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algo...
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