Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

By Jukka-Pekka Onnela, Scott L. Rauch. Neuropsychopharmacology, 2016

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Natural Language Processing of Social Media as Screening for Suicide Risk (2018, background): “Interestingly, there has been significant progress in using data outside the health care system to assess and understand mental health and well-being in recent years (which some refer to as digital phenotyping , eg, Onnela and Rauch 13 ).”
AI in mental health. (2020, background): “Digital phenotyping [2] or personal sensing [3] involves using sensor and usage data from personal digital devices, particularly smartphones, to infer contextual and behavioural information about an individual that can then be used as input for machine learning methods to predict…”
Network neuroscience (2017, background): “70 and enhance behavioral and mental health, such as in individuals with major depressive disorder 44 .”
Relapse prediction in schizophrenia through digital phenotyping: a pilot study (2018, methodology): “We have previously defined digital phenotyping as the momentby-moment quantification of the individual-level human phenotype in situ using data from personal digital devices, in particular smartphones [8].”