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

Depression and Mood Disorders; Suicide Prevention (1363) Psychotic Disorders (161) Special Issue on Computing and Mental Health (2018) (33)

Published on in Vol 5, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10122, first published .
Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study

Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study

Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study

Authors of this article:

Darius Adam Rohani1, 2 Author Orcid Image ;   Nanna Tuxen3 Author Orcid Image ;   Andrea Quemada Lopategui2 Author Orcid Image ;   Lars Vedel Kessing3, 4 Author Orcid Image ;   Jakob Eyvind Bardram1, 2, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (44) Metrics

Journals

  1. Rohani D, Faurholt-Jepsen M, Kessing L, Bardram J. Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms. ACM Transactions on Computing for Healthcare 2021;2(4):1 View
  2. Fang Y, Li N, Tsai S, Li Y. Exploring the Design of Teaching Mental Health of College Students Based on Data-Driven Learning. Mathematical Problems in Engineering 2022;2022:1 View
  3. Rohani D, Springer A, Hollis V, Bardram J, Whittaker S. Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing 2021;9(3):1183 View
  4. Pfau J, Seif El-Nasr M. On Video Game Balancing: Joining Player- and Data-Driven Analytics. Games: Research and Practice 2024;2(3):1 View