Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning.
Natasa K. OrphanidouAbir HussainRobert KeightPaulo LisboaJade HindHaya Al-AskarPublished in: CEC (2018)
Keyphrases
- machine learning
- multiple sclerosis
- medical doctors
- early diagnosis
- patient groups
- diagnostic tool
- clinical studies
- amyotrophic lateral sclerosis
- clinically relevant
- emergency department
- disease progression
- diabetic patients
- machine learning methods
- cardiovascular disease
- pattern recognition
- cancer patients
- chronic disease
- data mining
- liver disease
- disease diagnosis
- diabetes mellitus
- gait analysis
- gait recognition
- clinical data
- breast cancer
- machine learning algorithms
- information extraction
- human gait recognition
- colorectal cancer
- chronic obstructive pulmonary disease
- knowledge discovery
- medical practice
- infectious disease
- high risk
- patient data
- human recognition
- biped robot
- medical practitioners
- white matter
- natural language processing