Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm-Reference-Cited by-同舟云学术

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Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm

Published:2021-01 Issue: Volume:163 Page:113807
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yadav Samir S.,Jadhav Shivajirao M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. 2017 AHA/ACC/HRS guideline for management of patients with Ventricular arrhythmias and the prevention of sudden cardiac death: executive summary;Al-Khatib;Journal of the American College of Cardiology,2018

2. Apple heart study identifies AFib in small group of apple watch wearers;American College of Cardiology,2019

3. Heath topics;American Heart Association,2017

4. (2019). ATPases. Available at: https://www.tocris.com/pharmacology/atpases.

5. An ECG-based feature selection and heartbeat classification model using a hybrid heuristic algorithm;Ayar;Informatics in Medicine Unlocked,2018

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