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Digital Screening and Automated Resource Identification System to Address COVID-19-Related Behavioral Health Disparities: Feasibility Study.

Colleen Stiles-ShieldsKathryn R BattsKaren M ReyesJoseph ArcherSharad CrosbyJanel M DraxlerNia LennanPhilip Held
Published in: JMIR formative research (2022)
This study provided initial support for the feasibility of the ENERGY System, a DMH tool capable of screening for resource and mental health needs and providing automated, personalized, and free resources and techniques to meet the identified needs. Future studies should seek direct feedback from community members to further improve the ENERGY System and its dissemination to encourage use.
Keyphrases
  • mental health
  • healthcare
  • deep learning
  • machine learning
  • high throughput
  • coronavirus disease
  • sars cov
  • public health
  • mental illness
  • risk assessment
  • health information
  • social media
  • single cell
  • human health