@article{10985,
  keywords = {Humans, Prealbumin/metabolism, *Amyloid Neuropathies, Familial/diagnosis/complications, *Heart Failure/diagnosis/complications, *Cardiomyopathies/diagnosis/complications, United Kingdom, adult cardiology, Cardiology, cardiomyopathy},
  author = {C. Tsang and A. Huda and M. Norman and C. Dickerson and V. Leo and J. Brownrigg and M. Mamas and P. Elliott},
  title = {Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting},
  year = {2023},
  journal = {BMJ Open},
  volume = {13},
  edition = {2023/10/30},
  number = {10},
  pages = {e070028},
  isbn = {2044-6055},
  doi = {10.1136/bmjopen-2022-070028},
  note = {2044-6055
Tsang, Carmen
Huda, Ahsan
Norman, Max
Dickerson, Carissa
Orcid: 0000-0002-2450-0902
Leo, Vincenzo
Brownrigg, Jack
Mamas, Mamas
Orcid: 0000-0001-9241-8890
Elliott, Perry
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
England
BMJ Open. 2023 Oct 29;13(10):e070028. doi: 10.1136/bmjopen-2022-070028.},
  language = {eng},
}