These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 6995958)

  • 21. Comparative accuracy of automated computer analysis versus physicans in training in the interpretation of electrocardiograms.
    Sekiguchi K; Kanda T; Osada M; Tsunoda Y; Kodajima N; Fukumura Y; Suzuki T; Kobayashi I
    J Med; 1999; 30(1-2):75-81. PubMed ID: 10515243
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [The dynamic electrocardiogram in the evaluation of patients with myocardial infarct].
    Angelino PF; Abrate M; Alvino De Martino A; Paolillo V; Marra S; Aillon C; Pizzuti A
    G Ital Cardiol; 1981; 10(Suppl 2):9-11. PubMed ID: 7016652
    [No Abstract]   [Full Text] [Related]  

  • 23. [Experience in teaching an all-purpose electronic computer to establish electrocardiographic diagnosis of myocardial infarct].
    Kornevskaia TB; Savchenko LA
    Vestn Akad Med Nauk SSSR; 1968; 23(5):60-2. PubMed ID: 4907200
    [No Abstract]   [Full Text] [Related]  

  • 24. Canadian Colloquium on Computer-Assisted Interpretation of Electrocardiograms. VI. Importance of the electrocardiogram in populations outside the hospital.
    Blackburn H
    Can Med Assoc J; 1973 May; 108(10):1262-5. PubMed ID: 4574250
    [No Abstract]   [Full Text] [Related]  

  • 25. Can the lessons learned from the assessment of automated electrocardiogram analysis in the Common Standards for quantitative Electrocardiography study benefit measurement of delayed contrast-enhanced magnetic resonance images?
    Fayn J; Rubel P; Macfarlane PW
    J Electrocardiol; 2007 Jul; 40(3):246-50. PubMed ID: 17478178
    [No Abstract]   [Full Text] [Related]  

  • 26. Evaluation of the use of computer-assist electrocardiographic readings in a 700-bed general hospital.
    Nouse DC
    Ohio State Med J; 1975 Sep; 71(11):619-21. PubMed ID: 240143
    [No Abstract]   [Full Text] [Related]  

  • 27. Discrimination of myocardial infarction stages by subjective feature extraction.
    Ge D; Sun L; Zhou J; Shao Y
    Comput Methods Programs Biomed; 2009 Sep; 95(3):270-9. PubMed ID: 19394714
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [New possibilities of measurement and evaluation of the extent of experimental myocardial infarct on the basis of own interpretation of the epicardial electrocardiogram].
    Zochowski RJ
    Kardiol Pol; 1980; 23(4):343-55. PubMed ID: 7392360
    [No Abstract]   [Full Text] [Related]  

  • 29. A comparison of electrocardiograms interpreted by physician and computer.
    Acker JJ; Acker JE; Overholt BM
    J Tenn Med Assoc; 1972 May; 65(5):439-41. PubMed ID: 4554121
    [No Abstract]   [Full Text] [Related]  

  • 30. Special computer graphical method for detection of myocardial infarction.
    Hulin I; Slavkovsky P
    Comput Methods Programs Biomed; 1992; 39(1-2):85-94. PubMed ID: 1302675
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Computerized electrocardiography--an adjunct to the physician.
    Laks MM; Selvester RH
    N Engl J Med; 1991 Dec; 325(25):1803-4. PubMed ID: 1834941
    [No Abstract]   [Full Text] [Related]  

  • 32. Use of intramyocardial conduction delay during early transmural ischemia to interpret electrocardiograms.
    Zhong-Qun Z; Shu-Yi D; Chong-Quan W
    J Electrocardiol; 2008; 41(5):434-5. PubMed ID: 18632112
    [No Abstract]   [Full Text] [Related]  

  • 33. The value of the computer as a screening tool for routine electrocardiograms.
    Verdesca AS
    J Occup Med; 1972 Apr; 14(4):293-7. PubMed ID: 4553521
    [No Abstract]   [Full Text] [Related]  

  • 34. 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]  

  • 35. The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex.
    Abboud S
    J Electrocardiol; 2014; 47(5):761-2. PubMed ID: 24993144
    [No Abstract]   [Full Text] [Related]  

  • 36. Prediction of improvement in left ventricular function during a 1-year follow-up after acute myocardial infarction by the degree of acute resolution of electrocardiographic changes.
    Kalinauskiene E; Naudziunas A; Navickas R; Vaicekavicius E; Pilvinis V; Jankauskiene L; Vencloviene J; Bernotiene A
    J Electrocardiol; 2007; 40(5):416-21. PubMed ID: 17604046
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Evaluation of prognostic clinical and ECG parameters in patients after myocardial infarction by applying logistic regression method.
    Urbonaviciene G; Urbonavicius S; Vorum H; Bluzaite I; Jarusevicius G; Honoré B; Tamosiunaite M
    Pacing Clin Electrophysiol; 2008 Nov; 31(11):1391-8. PubMed ID: 18950295
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Computer-assisted prognosis in myocardial infarct].
    Jánosi A
    Orv Hetil; 1991 Feb; 132(7):389. PubMed ID: 2057203
    [No Abstract]   [Full Text] [Related]  

  • 39. Evaluating a new graphical ordinal logit method (GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory data.
    Bernstein LH; Qamar A; McPherson C; Zarich S
    Yale J Biol Med; 1999; 72(4):259-68. PubMed ID: 10907776
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Country cardiograms case 38.
    Helm C
    Can J Rural Med; 2010; 15(4):164-5, 169-70. PubMed ID: 20875317
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.