Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
Andrew P. CreaghValentin HamyHang YuanGert MertesRyan TomlinsonWen-Hung ChenRachel WilliamsChristopher LlopChristopher YeeMei Sheng DuhAiden R. DohertyLuis Garcia-GancedoDavid A. CliftonPublished in: npj Digit. Medicine (2024)
Keyphrases
- rheumatoid arthritis
- machine learning
- health services
- electronic health records
- health information systems
- health care
- digital media
- primary care
- patient care
- patient data
- digital technologies
- data mining
- healthcare providers
- learning systems
- mr images
- medical care
- health informatics
- healthcare delivery
- personal health
- health records
- clinical data
- patient outcomes
- learning algorithm
- machine learning methods
- health related
- health status
- digital world
- decision trees
- computer vision
- vital signs
- clinical trials
- health care providers
- information extraction
- artificial intelligence
- information systems
- diabetic patients
- computational intelligence
- image data
- heart rate
- medical records
- data acquisition
- computer science
- digital content
- medical data
- monitoring system
- natural language processing
- knowledge acquisition
- text mining