Revised inverse problem algorithm-based prediction of coronary artery stenosis readings from the clinical data of patients with coronary heart diseases-Reference-Cited by-同舟云学术

Revised inverse problem algorithm-based prediction of coronary artery stenosis readings from the clinical data of patients with coronary heart diseases

Published:2017-09-18 Issue:sup1 Volume:22 Page:70-78
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Pan Lung-Fa¹²,Chiu Shao-Wen¹³,Xiao Min-Feng¹,Chen Chia-Hui¹,Pan Lung-Kwang¹

Affiliation:

1. Graduate Institute of Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung, Taiwan;

2. Department of Cardiology, Taichung Armed Forces General Hospital, Taichung, Taiwan, ROC;

3. Medical Care Department, Healthcare Technology Business Division, International Integrated Systems, Inc, New Taipei City, Taiwan, ROC

Funder

Ministry of Science and Technology

Taichung Armed Forces General Hospital

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

https://www.tandfonline.com/doi/pdf/10.1080/24699322.2017.1379149

Reference8 articles.

1. World Health Otganization, The top 10 causes of death, 2007. Available from: http://www.who.int/mediacentre/factsheets/fs310/en/

2. Use of Data Mining Techniques to Determine and Predict Length of Stay of Cardiac Patients

3. Shouman M, Turner T, Stocker R. Using data mining techniques om heart disease diagnosis and treatment. Paper presented at the Japan-Egypt Conference on Electronics, Communications and Computers, IEEE, 2012. p. 189–193. Available from: http://dx.doi.org/10.1016/j.radonc.2011.08.029

4. Effects on Coronary Heart Disease of Increasing Polyunsaturated Fat in Place of Saturated Fat: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

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