Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning.
Yuri G. RykovKok Pin NgMichael D. PattersonBikram A. GangwarNagaendran KandiahPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- deep learning
- physiological data
- unsupervised learning
- lifelog
- physiological signals
- machine learning
- multivariate time series
- intensive care
- sensor networks
- human computer interaction
- activity recognition
- patient data
- temporal patterns
- weakly supervised
- mental models
- data mining
- expert systems
- facial expressions
- data analysis
- multiscale
- clustering algorithm
- affect detection