A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star.
Bryar A. HassanTarik A. RashidHozan K. HamarashidPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- clustering algorithm
- medical doctors
- patient groups
- cardiovascular disease
- diabetic patients
- chronic disease
- medical practice
- medical data
- medical practitioners
- data clustering
- medical center
- hierarchical clustering
- medical care
- medical knowledge
- medical devices
- diabetes mellitus
- evolutionary clustering
- clustering framework
- overlapping clusters
- k means
- subspace clustering
- fuzzy clustering
- intensive care units
- breast cancer patients
- medical records
- diagnostic tool
- medical experts
- medical diagnosis
- medical decision making
- multiple sclerosis
- patient records
- early diagnosis
- disease diagnosis
- health care
- outbreak detection
- breast cancer
- cluster analysis
- medical treatment
- cluster centers
- discharge summaries
- disjoint clusters
- electronic patient record
- clustering method
- medical imaging
- clinical data
- medical staff
- arbitrary shape
- diagnostic process
- disease outbreaks
- electronic medical record
- patient data
- fuzzy c means
- emergency department
- liver disease
- clustering analysis
- cancer patients
- clinically relevant
- clustering approaches
- critical care
- clinical decision support