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Journal Abstract Search
133 related items for PubMed ID: 9656764
41. Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers. Chan HP, Sahiner B, Wagner RF, Petrick N. Med Phys; 1999 Dec; 26(12):2654-68. PubMed ID: 10619251 [Abstract] [Full Text] [Related]
42. A granular description of ECG signals. Gacek A, Pedrycz W. IEEE Trans Biomed Eng; 2006 Oct; 53(10):1972-82. PubMed ID: 17019861 [Abstract] [Full Text] [Related]
44. Feature and classifier fusion for 12-lead ECG classification. Nugent CD, Webb JA, Black ND. Med Inform Internet Med; 2000 Oct; 25(3):225-35. PubMed ID: 11086972 [Abstract] [Full Text] [Related]
45. Interpretation module for screening normal ECG. Holzmann C, Hasseldieck U, Rosselot E, Estévez P, Andrade A, Acuña G. Med Prog Technol; 1990 Oct; 16(3):163-71. PubMed ID: 2146480 [Abstract] [Full Text] [Related]
46. A neuro-fuzzy approach to classification of ECG signals for ischemic heart disease diagnosis. Neagoe V-, Iatan I-, Grunwald S. AMIA Annu Symp Proc; 2003 Oct; 2003():494-8. PubMed ID: 14728222 [Abstract] [Full Text] [Related]
51. Computer-assisted interpretation of electro- and vectorcardiograms. Chapter IV. Achievements in the field of computer-assisted interpretation of electrocardiograms. Brohet C. Rev Inst Hyg Mines (Hasselt); 1980 Oct; 35(4):201-64. PubMed ID: 7015461 [Abstract] [Full Text] [Related]
53. Neural network and conventional classifiers for fluorescence-guided laser angioplasty. Gindi GR, Darken CJ, O'Brien KM, Stetz ML, Deckelbaum LI. IEEE Trans Biomed Eng; 1991 Mar; 38(3):246-52. PubMed ID: 2066137 [Abstract] [Full Text] [Related]
54. A new ECG classifier based on linear prediction techniques. Marques de Sá JP, Abreu-Lima C. Comput Biomed Res; 1986 Jun; 19(3):213-23. PubMed ID: 2940049 [Abstract] [Full Text] [Related]
55. Testing the performance of ECG computer programs: the CSE diagnostic pilot study. Willems JL, Abreu-Lima C, Arnaud P, van Bemmel JH, Brohet C, Degani R, Denis B, Graham I, van Herpen G, Macfarlane PW. J Electrocardiol; 1987 Oct; 20 Suppl():73-7. PubMed ID: 3694105 [Abstract] [Full Text] [Related]
56. An intelligent framework for the classification of the 12-lead ECG. Nugent CD, Webb JA, Black ND, Wright GT, McIntyre M. Artif Intell Med; 1999 Jul; 16(3):205-22. PubMed ID: 10397302 [Abstract] [Full Text] [Related]
57. Waveform prototype-based feature learning for automatic detection of the early repolarization pattern in ECG signals. Tobón-Cardona M, Kenttä T, Porthan K, Tikkanen JT, Oikarinen L, Viitasalo M, Salomaa V, Huikuri HV, Junttila JM, Seppänen T. Physiol Meas; 2018 Nov 30; 39(11):115010. PubMed ID: 30500784 [Abstract] [Full Text] [Related]
58. An ECG classifier designed using modified decision based neural networks. Simon BP, Eswaran C. Comput Biomed Res; 1997 Aug 30; 30(4):257-72. PubMed ID: 9339321 [Abstract] [Full Text] [Related]
59. Stabilized binary hierarchic classifier in cytopathologic diagnosis. Bartels HG, Bartels PH, Bibbo M, Wied GL. Anal Quant Cytol; 1984 Dec 30; 6(4):247-61. PubMed ID: 6397084 [Abstract] [Full Text] [Related]