80 related articles for article (PubMed ID: 8598741)
1. Neural networks and early diagnosis of myocardial infarction.
Andreae MH
Lancet; 1996 Feb; 347(8998):407-8. PubMed ID: 8598741
[No Abstract] [Full Text] [Related]
2. Neural networks and early diagnosis of myocardial infarction.
Kennedy RL; Burton AM; Harrison RF
Lancet; 1996 Feb; 347(8998):407. PubMed ID: 8598740
[No Abstract] [Full Text] [Related]
3. Complexity, chaos and human physiology: the justification for non-linear neural computational analysis.
Baxt WG
Cancer Lett; 1994 Mar; 77(2-3):85-93. PubMed ID: 8168070
[TBL] [Abstract][Full Text] [Related]
4. Myocardial infarction prediction by artificial neural networks.
Zelicoff AP
Ann Intern Med; 1992 Apr; 116(8):701; author reply 702. PubMed ID: 1546880
[No Abstract] [Full Text] [Related]
5. The added value of ECG-gating for the diagnosis of myocardial infarction using myocardial perfusion scintigraphy and artificial neural networks.
Gjertsson P; Lomsky M; Richter J; Ohlsson M; Tout D; van Aswegen A; Underwood R; Edenbrandt L
Clin Physiol Funct Imaging; 2006 Sep; 26(5):301-4. PubMed ID: 16939508
[TBL] [Abstract][Full Text] [Related]
6. [ECG signal analysis by pattern comparison and ECG databanks].
Kreiseler D; Bousseljot R
Biomed Tech (Berl); 1998; 43 Suppl 3():73-6. PubMed ID: 11776227
[No Abstract] [Full Text] [Related]
7. Neural network analysis of biochemical markers for early assessment of acute myocardial infarction.
Ellenius J; Groth T; Lindahl B
Stud Health Technol Inform; 1997; 43 Pt A():382-5. PubMed ID: 10179578
[TBL] [Abstract][Full Text] [Related]
8. Application of artificial neural networks to clinical medicine.
Baxt WG
Lancet; 1995 Oct; 346(8983):1135-8. PubMed ID: 7475607
[No Abstract] [Full Text] [Related]
9. A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching.
Baxt WG
Med Decis Making; 1994; 14(3):217-22. PubMed ID: 7934708
[TBL] [Abstract][Full Text] [Related]
10. Neural networks for analysis of ECG complexes.
Edenbrandt L; Heden B; Pahlm O
J Electrocardiol; 1993; 26 Suppl():74. PubMed ID: 8189151
[No Abstract] [Full Text] [Related]
11. Use of neural networks to diagnose acute myocardial infarction. I. Methodology.
Jørgensen JS; Pedersen JB; Pedersen SM
Clin Chem; 1996 Apr; 42(4):604-12. PubMed ID: 8605679
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic ECG classification based on neural networks.
Bortolan G; Willems JL
J Electrocardiol; 1993; 26 Suppl():75-9. PubMed ID: 8189152
[TBL] [Abstract][Full Text] [Related]
13. Evaluating variable selection methods for diagnosis of myocardial infarction.
Dreiseitl S; Ohno-Machado L; Vinterbo S
Proc AMIA Symp; 1999; ():246-50. PubMed ID: 10566358
[TBL] [Abstract][Full Text] [Related]
14. Using patient-reportable clinical history factors to predict myocardial infarction.
Wang SJ; Ohno-Machado L; Fraser HS; Kennedy RL
Comput Biol Med; 2001 Jan; 31(1):1-13. PubMed ID: 11058690
[TBL] [Abstract][Full Text] [Related]
15. The patient with chest pain in the emergency room--will the computer resolve the physician's dilemma?
Hod H
Isr J Med Sci; 1994 Oct; 30(10):782-4. PubMed ID: 7960693
[No Abstract] [Full Text] [Related]
16. Using neural networks and just nine patient-reportable factors of screen for AMI.
Bulgiba AM; Fisher MH
Health Informatics J; 2006 Sep; 12(3):213-25. PubMed ID: 17023409
[TBL] [Abstract][Full Text] [Related]
17. [Development of a computer program for early diagnosis of acute myocardial infarction].
Aase O; Jonsbu J; Erikssen J; Rollag A
Tidsskr Nor Laegeforen; 1990 Mar; 110(9):1071-6. PubMed ID: 2184538
[TBL] [Abstract][Full Text] [Related]
18. A computer protocol to predict myocardial infarction in emergency department patients with chest pain.
Goldman L; Cook EF; Brand DA; Lee TH; Rouan GW; Weisberg MC; Acampora D; Stasiulewicz C; Walshon J; Terranova G
N Engl J Med; 1988 Mar; 318(13):797-803. PubMed ID: 3280998
[TBL] [Abstract][Full Text] [Related]
19. [Probabilistic neural networks with macrolayers in systems for support of decision-making used for differential diagnosis of cardiovascular diseases].
Burmaka AA; Volkov II; Ivanov VA; Serebrovskiĭ VI
Med Tekh; 2013; (4):18-20. PubMed ID: 24364152
[No Abstract] [Full Text] [Related]
20. Computerized version of the time-insensitive predictive instrument. Use of the Q wave, ST-segment, T wave, and patient history in the diagnosis of acute myocardial infarction by the computerized ECG.
Cairns CB; Niemann JT; Selker HP; Laks MM
J Electrocardiol; 1992; 24 Suppl():46-9. PubMed ID: 1552267
[No Abstract] [Full Text] [Related]
[Next] [New Search]
