Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study

Miller, R. J. H., Bednarski, B. P., Pieszko, K., Kwiecinski, J., Williams, M. C., Shanbhag, A., Liang, J. X., Huang, C., Sharir, T., Hauser, M. T., Dorbala, S., Di Carli, M. F., Fish, M. B., Ruddy, T. D., Bateman, T. M., Einstein, A. J., Kaufmann, P. A., Miller, E. J., Sinusas, A. J., … Slomka, P. J. (2024). Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. EBioMedicine, 99, 104930. https://doi.org/10.1016/j.ebiom.2023.104930
Authors:
Robert J H Miller
Bryan P Bednarski
Konrad Pieszko
Jacek Kwiecinski
Michelle C Williams
Aakash Shanbhag
Joanna X Liang
Cathleen Huang
Tali Sharir
M Timothy Hauser
Sharmila Dorbala
Marcelo F Di Carli
Mathews B Fish
Terrence D Ruddy
Timothy M Bateman
Andrew J Einstein
Philipp A Kaufmann
Edward J Miller
Albert J Sinusas
Wanda Acampa
Donghee Han
Damini Dey
Daniel S Berman
Piotr J Slomka
Affiliated Authors:
Andrew J Einstein
Author Keywords:
machine learning
coronary artery disease
cluster analysis
myocardial perfusion
Publication Type:
Article
Unique ID:
10.1016/j.ebiom.2023.104930
PMID:
Journal:
Publication Date:
Data Source:
PubMed

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