This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (182)

Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21703, first published .
Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study

Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study

Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study

Authors of this article:

Vincent WS Tseng1 Author Orcid Image ;   Jean Dos Reis Costa2, 3 Author Orcid Image ;   Malte F Jung3 Author Orcid Image ;   Tanzeem Choudhury1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Cook D, Schmitter-Edgecombe M. Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores. IEEE Access 2021;9:65033 View
  2. Brockmeyer T, Febry H, Leiteritz-Rausch A, Wünsch-Leiteritz W, Leiteritz A, Friederich H. Cognitive flexibility, central coherence, and quality of life in anorexia nervosa. Journal of Eating Disorders 2022;10(1) View
  3. Lauvsnes A, Gråwe R, Langaas M. Predicting Relapse in Substance Use: Prospective Modeling Based on Intensive Longitudinal Data on Mental Health, Cognition, and Craving. Brain Sciences 2022;12(7):957 View
  4. Lauvsnes A, Hansen T, Ankill S, Bae S, Gråwe R, Braund T, Larsen M, Langaas M. Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study. JMIR Formative Research 2023;7:e45254 View