Machine learning applied to digital phenotyping: A systematic literature review and taxonomy-Reference-Cited by-同舟云学术

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Machine learning applied to digital phenotyping: A systematic literature review and taxonomy

Published:2024-12 Issue: Volume:161 Page:108422
ISSN:0747-5632
Container-title:Computers in Human Behavior
language:en
Short-container-title:Computers in Human Behavior

Author:

dos Santos Marília Pit^ORCID,Heckler Wesllei Felipe,Bavaresco Rodrigo Simon,Barbosa Jorge Luis Victória

Funder

CAPES

CNPq

Publisher

Elsevier BV

Reference195 articles.

1. Smartphone-Tracked digital markers of momentary subjective stress in college students: Idiographic machine learning analysis;Aalbers;JMIR Mhealth Uhealth,2023

2. Computer vision-based assessment of motor functioning in Schizophrenia: Use of smartphones for remote measurement of Schizophrenia symptomatology;Abbas;Digital Biomarkers,2021

3. Actigraphic correlates of neuropsychiatric symptoms in adults with focal epilepsy;Abboud;Epilepsia,2023

4. Machine learning and data analytics for the IoT;Adi;Neural Computing and Applications,2020

5. Predicting early warning signs of psychotic relapse from passive sensing data: An approach using encoder-decoder neural networks;Adler;JMIR Mhealth Uhealth,2020

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