Using the Neural Network to Diagnose the Severity of Heart Disease in Patients Using General Specifications and ECG Signals Received from the Patients-Reference-Cited by-同舟云学术

Using the Neural Network to Diagnose the Severity of Heart Disease in Patients Using General Specifications and ECG Signals Received from the Patients

Published:2020 Issue:5 Volume:5 Page:882-892
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Jafari Zahra,Rajebi Saman,Haghipour Siyamak

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

https://www.astesj.com/publications/ASTESJ_0505108.pdf

Reference17 articles.

1. P. Christopher, MD. Cannon. "Cardiovascular disease and modifiable cardiometabolic risk factors", Clinical Cornerstone, 8(3), pp. 11-28, 2007, doi:10.1016/s1098-3597(07)80025-1.

2. T.A. Gaziano, A. Bitton, Sh. Anand, S. Abrahams-Gessel, A. Murphy, "Growing Epidemic of Coronary Heart Disease in Low- and Middle-Income Countries", Current Problems in Cardiology, vol. 35, no. 2,pp. 72-115 ,Feb 2010, doi:10.1016/j.cpcardiol.2009.10.002.

3. M. Naghavi, H. Wang, R. Lozano, A. Davis, X. Liang, M. Zhou, et al, "Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013", Lancet , 385 (9963), pp. 117-171, January 2015, doi:10.1016/S0140-6736(14)61682-2.

4. C.P. Cannon, "Cardiovascular disease and modifiable cardiometabolic risk factors", Clinical Cornerstone, vol. 8, no. 3, pp. 11-28, 2007, doi:10.1016/s1098-3597(07)80025-1.

5. U. Zeymer, K. Schröder, U. Tebbe, et al. "Non-invasive detection of early infarct vessel patency by resolution of ST segment elevation in patients with thrombolysis for acute myocardial infarction. results of the angiographic substudy of the Hirudin for Improvement of Thrombolysis (HIT)-4 trial", Eur Heart J , pp. 22-796, 2001, doi:10.1053/euhj.2000.2290.

Cited by 3 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. Comparative Analysis of optimized Machine Learning Algorithms for Heart Disease Severity Recognition Using Spectrophotometric analysis;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

2. Fetal health classification by support vector machine based on feature vector optimization;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

3. Diagnosis of sleep apnea by optimal fuzzy system based on respiratory signals;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29