Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients

Author:

Hosseini Kaveh,Behnoush Amir Hossein,Khalaji Amirmohammad,Etemadi Ali,Soleimani Hamidreza,Pasebani Yeganeh,Jenab Yaser,Masoudkabir Farzad,Tajdini Masih,Mehrani Mehdi,Nanna Michael G.

Publisher

Elsevier BV

Reference59 articles.

1. Total and cause-specific mortality after percutaneous coronary intervention: observations from the Alberta provincial project for outcome assessment in coronary heart disease registry;Tran;CJC Open.,2019

2. A risk score to predict in-hospital mortality for percutaneous coronary interventions;Wu;J. Am. Coll. Cardiol.,2006

3. The New York state risk score for predicting in-hospital/30-day mortality following percutaneous coronary intervention;Hannan;J. Am. Coll. Cardiol. Intv.,2013

4. Body mass index and all cause mortality in HUNT and UK biobank studies: linear and non-linear mendelian randomisation analyses;Sun;BMJ,2019

5. BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants;Aune;BMJ,2016

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