Modeling Social Behavior for Healthcare Utilization in Depression


Depression is one of the most common mental disorders in the U.S. and is the leading cause of disability affecting millions of Americans every year. Successful early identification and treatment of depression can lead to many other positive health and behavioral outcomes across the lifespan. This project will apply “big data” techniques and methods for identifying combinations of online socio-behavioral factors and neighborhood environmental conditions that can enable detection of depressive behavior in communities and studying access and utilization of healthcare services.

For more information, visit the Kno.e.sis Wiki.


  • Grant Number: 1 R01 MH105384-01A1
  • Principal Investigators: Jyotishman Pathak (Cornell, Contact), Amit P. Sheth (Kno.e.sis, Wright State University)
  • Project Title: Modeling Social Behavior for Healthcare Utilization in Depression
  • Timeline: 10/01/2015 - 06/30/2019
  • Award Amount: $1,934,525


  • Co-Investigators
    • T.K. Prasad (Kno.e.sis, Wright State University)
    • Tanvi Banerjee (Kno.e.sis, Wright State University)
    • William V. Bobo (Mayo Clinic)
    • Nilay D. Shah (Mayo Clinic)
    • Lila J. Rutten (Mayo Clinic)
    • Jennifer B. McCormick (Mayo Clinic)
    • Gyorgy Simon (Mayo Clinic)