A pragmatic signal processing approach for nurse care activity recognition using classical machine learning.
Md. Ahasan Atick FaisalMd. Sadman SirajMd. Tahmeed AbdullahOmar ShahidFarhan Fuad AbirMd. Atiqur Rahman AhadPublished in: UbiComp/ISWC Adjunct (2020)
Keyphrases
- signal processing
- machine learning
- health care
- speech processing
- pattern recognition
- image processing
- medical care
- computer vision
- daily activities
- long term
- patient care
- explanation based learning
- fourier transform
- text mining
- machine learning methods
- human activities
- machine learning algorithms
- natural language processing
- decision trees
- supervised learning
- multiresolution
- data analysis
- activity patterns
- natural language
- reinforcement learning
- learning problems
- feature selection
- signal analysis
- supervised machine learning
- artificial intelligence
- learning algorithm
- virtual reality environments
- clinical decision support systems
- digital signal processing
- machine learning approaches
- computational biology
- learning tasks
- transfer learning
- filter bank
- semi supervised learning
- information extraction
- information systems