Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia.
Charat ThongprayoonPanupong HansrivijitMichael A MaoPradeep K VaitlaAndrea G KattahPattharawin PattharanitimaSaraschandra VallabhajosyulaVoravech NissaisorakarnTananchai PetnakMira T KeddisStephen B EricksonJohn J DillonVesna D GarovicWisit CheungpasitpornPublished in: Diseases (Basel, Switzerland) (2021)
We identified three clinically distinct phenotypes with differing mortality risks in a heterogeneous cohort of hospitalized hyponatremic patients using an unsupervised machine learning approach.
Keyphrases
- machine learning
- end stage renal disease
- artificial intelligence
- ejection fraction
- chronic kidney disease
- newly diagnosed
- big data
- emergency department
- prognostic factors
- peritoneal dialysis
- heart failure
- risk factors
- cardiovascular disease
- single cell
- type diabetes
- human health
- patient reported outcomes
- rna seq
- atrial fibrillation