Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry-Reference-Cited by-同舟云学术

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry

Published:2022-06 Issue: Volume:145 Page:105449
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Rios Richard,Miller Robert J.H.^ORCID,Manral Nipun^ORCID,Sharir Tali^ORCID,Einstein Andrew J.^ORCID,Fish Mathews B.,Ruddy Terrence D.,Kaufmann Philipp A.,Sinusas Albert J.,Miller Edward J.,Bateman Timothy M.,Dorbala Sharmila,Di Carli Marcelo,Van Kriekinge Serge D.,Kavanagh Paul B.^ORCID,Parekh Tejas^ORCID,Liang Joanna X.,Dey Damini,Berman Daniel S.,Slomka Piotr J.^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

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4. Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry;Hu;Eur. Heart J. Cardiovasc. Imag.,2020

5. Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT;Hu;Eur. Heart J. Cardiovasc. Imag.,2021

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