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Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study
Darius Adam Rohani, Nanna Tuxen, Andrea Quemada Lopategui,
Lars Vedel Kessing
, Jakob Eyvind Bardram
Department of Clinical Medicine
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Dive into the research topics of 'Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study'. Together they form a unique fingerprint.
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Keyphrases
Behavioral Activation
100%
Data-driven Learning
100%
Active Sampling
100%
Pen-and-paper
33%
Pen-based
33%
Digital Solutions
33%
Movement-related Activity
33%
Within-subject Analysis
33%
Category Analysis
33%
Behavioral Activation Therapy
33%
Activity Categories
33%
Computer Science
Rating Scale
100%
Behavioral Pattern
100%
Social Activity
100%
Statistical Approach
100%
Individual Level
100%
Psychology
Behavioral Activation
100%
Data-Driven Learning
100%
Neuroscience
Bipolar Depression
100%
Circadian Rhythm
50%
Behavior Change
50%
Nursing and Health Professions
Behavioral Activation
100%
Bipolar Depression
100%
Pharmacology, Toxicology and Pharmaceutical Science
Bipolar Depression
100%