Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyResearch in context

Summary: Background: Myocardial perfusion imaging (MPI) is one of the most common cardiac scans and is used for diagnosis of coronary artery disease and assessment of cardiovascular risk. However, the large majority of MPI patients have normal results. We evaluated whether unsupervised machine lear...

Descripció completa

Dades bibliogràfiques

Autors principals:	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
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-01-01
Col·lecció:	EBioMedicine
Matèries:	Machine learning Coronary artery disease Cluster analysis Myocardial perfusion
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352396423004966
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!