Instagram photos reveal predictive markers of depression

  title={Instagram photos reveal predictive markers of depression},
  author={Andrew G. Reece and Christopher M. Danforth},
  journal={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… 

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