Patient similarity analytics for explainable clinical risk prediction.
Andrew Hao Sen FangNgiap Chuan TanWei Ying TanRonald Wihal OeiMong-Li LeeWynne HsuPublished in: BMC Medical Informatics Decis. Mak. (2021)
Keyphrases
- patient data
- clinical data
- clinical practice
- medical treatment
- clinical trials
- clinical setting
- clinical information
- treatment planning
- intensive care
- video endoscopy
- patient records
- prediction accuracy
- medical data
- primary care
- medical records
- predictive modeling
- real patient data
- therapy planning
- acute coronary syndrome
- medical experts
- similarity measure
- maxillofacial surgery
- intensive care unit
- patient care
- learning analytics
- acute myocardial infarction
- medical staff
- health care
- medical doctors
- heart disease
- high risk
- cardiovascular disease
- disease progression
- data mining
- risk factors
- business intelligence
- medical domain
- medical knowledge
- clinical guidelines
- clinical workflow
- chronic disease
- hospital information systems
- health related
- operating room
- medical center
- breast cancer patients
- clinical applications
- hospital discharge
- risk assessment
- body mass index
- ct images
- medical images
- decision making