A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data-Reference-Cited by-同舟云学术

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A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Kigka Vassiliki I.,Georga Eleni I.,Sakellarios Antonis I.,Tachos Nikolaos S.,Andrikos Ioannis,Tsompou Panagiota,Rocchiccioli Silvia,Pelosi Gualtiero,Parodi Oberdan,Michalis Lampros K.,Fotiadis Dimitrios I.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8471725/8512178/08513620.pdf?arnumber=8513620

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Cardiovascular Disease by Feature Selection and Machine Learning Techniques;Lecture Notes in Networks and Systems;2024

2. Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial;Metabolites;2022-08-30

3. Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction;Patterns;2021-12

4. Cardiovascular Drugs: an Insight of In Silico Drug Design Tools;Journal of Pharmaceutical Innovation;2021-11-16

5. Coronary Artery Disease Prediction Techniques: A Survey;Proceedings of Second International Conference on Computing, Communications, and Cyber-Security;2021

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