Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients

Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients

Background: It is unknown to what extent the clinical benefits of PCI outweigh the risks and costs in patients with vs. without cancer and within each cancer type. We performed the first known nationally representative propensity score analysis of PCI mortality and cost among all eligible adult inpa...

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Bibliographic Details
Main Authors: Dominique J. Monlezun, Sean Lawless, Nicolas Palaskas, Shareez Peerbhai, Konstantinos Charitakis, Konstantinos Marmagkiolis, Juan Lopez-Mattei, Mamas Mamas, Cezar Iliescu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
PCI - percutaneous coronary intervention
cancer
cardio-oncology
onco-cardiology
disparites
machine laerning
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.620857/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.620857/full

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