A machine learning model identifies a functional connectome signature that predicts blood pressure levels: imaging insights from a large population of 35882 patients.
Roberta AvvisatoImma ForzanoFahimeh VarzidehPasquale MoneJoseph H TaubePublished in: Cardiovascular research (2023)
Keyphrases
- machine learning
- blood pressure
- end stage renal disease
- high resolution
- chronic kidney disease
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- genome wide
- adipose tissue
- gene expression
- heart rate
- artificial intelligence
- patient reported outcomes
- metabolic syndrome
- deep learning
- resting state
- functional connectivity
- patient reported