Machine Learning Models for Cardiovascular Disease Events Prediction-Reference-Cited by-同舟云学术

Machine Learning Models for Cardiovascular Disease Events Prediction

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Tsarapatsani Konstantina¹,Sakellarios Antonis I.²,Pezoulas Vasileios C.²,Tsakanikas Vassilis D.²,Kleber Marcus E.³,Marz Winfried⁴,Michalis Lampros K.⁵,Fotiadis Dimitrios I.²

Affiliation:

1. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH)

2. University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,Greece,GR 45110

3. University of Heidelberg,Medical Clinic V, Mannheim Medical Faculty,Mannheim,Germany

4. Mannheim Institute of Public Health, Social and Preventive Medicine, University of Heidelberg,Medical Faculty Mannheim,Mannheim,Germany

5. Michaelideion Cardiac Center, Medical School, University of Ioannina,Dept. of Cardiology,Ioannina,Greece,GR 45110

Funder

European Union

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871121.pdf?arnumber=9871121

Reference28 articles.

1. A Methodological Appraisal of the HEART Score and Its Variants

2. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions

3. Comparison of MESA of and Framingham risk scores in the prediction of coronary artery disease severity

4. Comparison of the Framingham Risk Score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population

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