• DOI:10.1140/epjds/s13688-017-0110-z
Corpus ID: 19494738

Instagram photos reveal predictive markers of depression

@article{Reece2017InstagramPR,
  title={Instagram photos reveal predictive markers of depression},
  author={Andrew G. Reece and C. Danforth},
  journal={EPJ Data Science},
  year={2017},
  volume={6},
  pages={1-12}
}

Andrew G. Reece, C. Danforth

Published 2017

Computer Science, Physics, Psychology

EPJ Data 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 algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depression. These results held even when the analysis was restricted to posts made before depressed… CONTINUE READING

View on Springer

epjdatascience.springeropen.com

Save to Library

Create Alert

Cite

Launch Research Feed