Author:
Nghia Huynh Luong,Van Quang Dinh,Quan Bui Xuan,Thuy Nguyen Thi
Publisher
Springer Nature Switzerland
Reference13 articles.
1. Shanthi, M., Pekka, P., Norrving, B.: Global Atlas on Cardiovascular Disease Prevention and Control (PDF). World Health Organization in collaboration with the World Heart Federation and the World Stroke Organization. pp. 3–18 (2011). ISBN 978-92-4-156437-3. Archived (PDF) from the original on 2014-08-17
2. Eggers, K.M., et al.: Artificial neural network algorithms for early diagnosis of acute myocardial infarction and prediction of infarct size in chest pain patients. Int. J. Cardiol. 114(3), 366–374 (2007). https://doi.org/10.1016/j.ijcard.2005.12.019
3. Baxt, W.G., Shofer, F.S., Sites, F.D., Hollander, J.E.: A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. Ann. Emerg. Med. 40(6), 575–583 (2002). https://doi.org/10.1067/mem.2002.129171
4. Baxt, W.G., Skora, J.: Prospective validation of artificial neural network trained to identify acute myocardial infarction. The Lancet 347(8993), 12–15 (1996). https://doi.org/10.1016/S0140-6736(96)91555-X
5. Baxt, W.G., Shofer, F.S., Sites, F.D., Hollander, J.E.: A neural computational aid to the diagnosis of acute myocardial infarction. Ann. Emerg. Med. 39(4), 366–373 (2002). https://doi.org/10.1067/mem.2002.122705