@article{10914,
  keywords = {Humans, *Diabetes Mellitus/epidemiology, comorbidity, Data Analysis, Cardiovascular Diseases/epidemiology, Risk Assessment, Kidney Diseases/epidemiology, *Unsupervised Machine Learning, Male, Female, Middle Aged, Aged, phenotype},
  author = {M. Wamil and A. Hassaine and S. Rao and Y. Li and M. Mamouei and D. Canoy and M. Nazarzadeh and Z. Bidel and E. Copland and K. Rahimi and G. Salimi-Khorshidi},
  title = {Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis},
  year = {2023},
  journal = {Sci Rep},
  volume = {13},
  edition = {2023/07/17},
  number = {1},
  pages = {11478},
  isbn = {2045-2322},
  doi = {10.1038/s41598-023-38251-1},
  note = {2045-2322
Wamil, Malgorzata
Hassaine, Abdelaali
Rao, Shishir
Li, Yikuan
Mamouei, Mohammad
Canoy, Dexter
Nazarzadeh, Milad
Bidel, Zeinab
Copland, Emma
Rahimi, Kazem
Salimi-Khorshidi, Gholamreza
FS/19/36/34346/BHF_/British Heart Foundation/United Kingdom
PG/18/65/33872/BHF_/British Heart Foundation/United Kingdom
DH_/Department of Health/United Kingdom
Journal Article
Research Support, Non-U.S. Gov't
England
Sci Rep. 2023 Jul 16;13(1):11478. doi: 10.1038/s41598-023-38251-1.},
  language = {eng},
}