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Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review.

Jean P M MendesIvan Rodrigues de MouraPepijn van de VenDavi VianaFrancisco José da Silva E SilvaLuciano Reis CoutinhoSilmar TeixeiraJoel J P C RodriguesAriel Soares Teles
Published in: Journal of medical Internet research (2022)
This systematic review provides in-depth analysis regarding solutions for DPMH. Results show growth in proposals for DPMH sensing apps in recent years, as opposed to a scarcity of public data sets. The review shows that there are features that can be measured on smart devices that can act as proxies for mental status and well-being; however, it should be noted that the combined evidence for high-quality features for mental states remains limited. DPMH presents a great perspective for future research, mainly to reach the needed maturity for applications in clinical settings.
Keyphrases
  • mental health
  • systematic review
  • meta analyses
  • healthcare
  • electronic health record
  • mental illness
  • randomized controlled trial
  • optical coherence tomography
  • machine learning
  • artificial intelligence