Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis.
Eric YamgaLouis MullieMadeleine DurandAlexandre Cadrin-ChenevertAn TangEmmanuel MontagnonCarl Chartrand-LefebvreMichael ChasséPublished in: Frontiers Digit. Health (2023)
Keyphrases
- cluster analysis
- microarray data
- clinical data
- patient data
- clinical information
- clinical trials
- ischemic stroke
- patient records
- medical treatment
- clinically relevant
- chronic hepatitis
- medical doctors
- intensive care unit
- medical data
- medical records
- intensive care
- heart disease
- categorical data
- patient groups
- clustering method
- disease progression
- clustering algorithm
- unsupervised learning
- data mining
- k means
- cardiovascular disease
- data analysis
- hierarchical latent class models
- factor analysis
- data mining techniques
- correlation analysis
- cluster validity
- fuzzy clustering
- clinical practice
- partitional clustering
- health care
- gene expression
- knowledge discovery
- bayesian networks