Published on in Vol 11, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38294, first published .
Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Journals

  1. Shi Q, Thornton L, Kilshaw R, Flatt R, Butner J, Adamo C, Deboeck P, Baucom B, Tregarthen J, Argue S, Bulik C. Relationship Between Intensive Passive Data Signals and Patterns of Binge-Eating Behaviors: From a Dynamical-System Approach. Clinical Psychological Science 2025;13(3):558 View
  2. Schmidt U, Claudino A, Fernández‐Aranda F, Giel K, Griffiths J, Hay P, Kim Y, Marshall J, Micali N, Monteleone A, Nakazato M, Steinglass J, Wade T, Wonderlich S, Zipfel S, Allen K, Sharpe H. The current clinical approach to feeding and eating disorders aimed to increase personalization of management. World Psychiatry 2025;24(1):4 View