Unsupervised phenotypic clustering for determining clinical status in children with cystic fibrosis.

Nicole FilipowGwyneth DaviesEleanor MainNeil J SebireColin WallisFelix RatjenSanja Stanojevic

Published in: The European respiratory journal (2021)

Machine learning derived phenotypic clusters can predict disease severity independent of lung function and could be used in conjunction with functional measures to predict future disease trajectories in CF patients.

Keyphrases

lung function
machine learning
cystic fibrosis
end stage renal disease
ejection fraction
chronic obstructive pulmonary disease
chronic kidney disease
newly diagnosed
air pollution
prognostic factors
peritoneal dialysis
depressive symptoms
patient reported outcomes
single cell