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Journal Abstract Search
101 related items for PubMed ID: 1443838
1. Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. Baxt WG. Ann Emerg Med; 1992 Dec; 21(12):1439-44. PubMed ID: 1443838 [Abstract] [Full Text] [Related]
2. A neural computational aid to the diagnosis of acute myocardial infarction. Baxt WG, Shofer FS, Sites FD, Hollander JE. Ann Emerg Med; 2002 Apr; 39(4):366-73. PubMed ID: 11919522 [Abstract] [Full Text] [Related]
3. Use of an artificial neural network for the diagnosis of myocardial infarction. Baxt WG. Ann Intern Med; 1991 Dec 01; 115(11):843-8. PubMed ID: 1952470 [Abstract] [Full Text] [Related]
4. Prospective validation of artificial neural network trained to identify acute myocardial infarction. Baxt WG, Skora J. Lancet; 1996 Jan 06; 347(8993):12-5. PubMed ID: 8531540 [Abstract] [Full Text] [Related]
8. A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. Baxt WG, Shofer FS, Sites FD, Hollander JE. Ann Emerg Med; 2002 Dec 16; 40(6):575-83. PubMed ID: 12447333 [Abstract] [Full Text] [Related]
10. Use of an artificial neural network to analyse an ECG with QS complex in V1-2 leads. Ouyang N, Ikeda M, Yamauchi K. Med Biol Eng Comput; 1997 Sep 16; 35(5):556-60. PubMed ID: 9374065 [Abstract] [Full Text] [Related]
12. Lack of association between prodromes nausea and vomiting, and specific electrocardiographic patterns of acute myocardial infarction. Gnecchi Ruscone T, Guzzetti S, Lombardi F, Lombardi R. Int J Cardiol; 1986 Apr 16; 11(1):17-23. PubMed ID: 3957476 [Abstract] [Full Text] [Related]
15. Development and validation of a prioritization rule for obtaining an immediate 12-lead electrocardiogram in the emergency department to identify ST-elevation myocardial infarction. Glickman SW, Shofer FS, Wu MC, Scholer MJ, Ndubuizu A, Peterson ED, Granger CB, Cairns CB, Glickman LT. Am Heart J; 2012 Mar 16; 163(3):372-82. PubMed ID: 22424007 [Abstract] [Full Text] [Related]