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: CoRR (2021)
Keyphrases
- clustering algorithm
- medical doctors
- patient groups
- chronic disease
- cardiovascular disease
- diabetic patients
- medical practice
- medical practitioners
- evolutionary clustering
- data clustering
- medical data
- medical center
- early diagnosis
- medical diagnosis
- medical knowledge
- clustering framework
- medical devices
- medical treatment
- breast cancer patients
- disease diagnosis
- intensive care units
- cluster analysis
- patient records
- medical records
- medical experts
- clustering approaches
- fuzzy c means
- hierarchical clustering
- cancer patients
- document clustering
- health care
- clustering method
- subspace clustering
- diagnostic process
- clinical studies
- emergency department
- medical care
- clinical trials
- multiple sclerosis
- medical decision making
- disease progression
- liver disease
- critical care
- electronic patient record
- medical images
- breast cancer
- clinical decision support
- intensive care
- fuzzy clustering
- clinical data
- overlapping clusters
- disease outbreaks
- patient data
- hierarchical clustering algorithm
- chronic obstructive pulmonary disease
- spectral clustering
- risk factors
- clustering quality
- clinical practice
- medical staff
- patient care
- electronic medical record
- diagnostic tool
- hierarchical agglomerative clustering