Using the distance between sets of hierarchical taxonomic clinical concepts to measure patient similarity.
Zheng JiaXudong LuHuilong DuanHaomin LiPublished in: BMC Medical Informatics Decis. Mak. (2019)
Keyphrases
- distance measure
- similarity measure
- patient data
- dissimilarity measure
- clinical practice
- euclidean distance
- distance function
- medical treatment
- clinical data
- clinical information
- clinical setting
- medical knowledge
- medical experts
- real patient data
- similarity coefficient
- clinical trials
- primary care
- medical records
- patient records
- longest common subsequence
- distance metric
- triangular inequality
- distance computation
- medical data
- treatment planning
- intensive care
- therapy planning
- maxillofacial surgery
- health care
- background knowledge
- heart disease
- patient care
- video endoscopy
- medical staff
- acute myocardial infarction
- edit distance
- hamming distance
- medical domain
- medical imaging
- clinical workflow
- computer interpretable
- care delivery
- critical care
- clinical applications
- clinical pathway
- cancer patients
- patient groups
- medical center
- clinical guidelines
- medical diagnosis
- home care
- electronic medical record