Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.
Wan-Yin LinChun-Hsien ChenYi-Ju TsengYu-Ting TsaiChing-Yu ChangHsin-Yao WangChih-Kuang ChenPublished in: Int. J. Medical Informatics (2018)
Keyphrases
- activities of daily living
- machine learning
- activity recognition
- fall detection
- ambient assisted living
- smart home
- assistive technology
- smart environments
- older adults
- data mining
- machine learning algorithms
- computational intelligence
- text classification
- text mining
- active learning
- ambient intelligence
- context aware
- artificial intelligence
- learning algorithm
- action recognition
- daily life
- multi camera
- context awareness
- semi supervised