Literature DB >> 24750720

A new memetic pattern based algorithm to diagnose/exclude coronary artery disease.

Michael J Zellweger1, Miriam Brinkert2, Urs Bucher2, Andrew Tsirkin3, Peter Ruff3, Matthias E Pfisterer2.   

Abstract

Entities:  

Keywords:  Artificial intelligence; Coronary artery disease; Decision making; Diagnosis; Risk scores

Mesh：

Year:  2014        PMID： 24750720     DOI： 10.1016/j.ijcard.2014.03.184

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN： 0167-5273            Impact factor:   4.164


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  3 in total

1.  A new non-invasive diagnostic tool in coronary artery disease: artificial intelligence as an essential element of predictive, preventive, and personalized medicine.

Authors:  Michael J Zellweger; Andrew Tsirkin; Vasily Vasilchenko; Michael Failer; Alexander Dressel; Marcus E Kleber; Peter Ruff; Winfried März
Journal:  EPMA J       Date:  2018-08-16       Impact factor: 6.543

2.  Use of artificial intelligence to assess the risk of coronary artery disease without additional (non-invasive) testing: validation in a low-risk to intermediate-risk outpatient clinic cohort.

Authors:  Casper G M J Eurlings; Sema Bektas; Sandra Sanders-van Wijk; Andrew Tsirkin; Vasily Vasilchenko; Steven J R Meex; Michael Failer; Caroline Oehri; Peter Ruff; Michael J Zellweger; Hans-Peter Brunner-La Rocca
Journal:  BMJ Open       Date:  2022-09-26       Impact factor: 3.006

Review 3.  Artificial Intelligence, Machine Learning, and Cardiovascular Disease.

Authors:  Pankaj Mathur; Shweta Srivastava; Xiaowei Xu; Jawahar L Mehta
Journal:  Clin Med Insights Cardiol       Date:  2020-09-09
  3 in total

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