The application of neural networks in diagnosing heart disease: A review
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Abstract
One of the main factors that cause an increase in mortality annually as a result of heart disease is misdiagnosis on the part of doctors or ignorance on the part of the patient, so the aim of this review was to use more accurate, cost-effective, easy-to-use methods and physician support methods where computer-generated neural networks are used in medical diagnoses. Early diagnosis of heart disease can significantly enhance the long-term chances of survival in victims of the disease. Artificial neural networks are widely used to diagnose and predict diseases, so it was emphasized that in the near future completely new diagnostic equipment based on this new technology can be developed in the field of EG, EG, MACROSCOPIC and microscopic image analysis systems.
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Alsawaf, R. S., Dawood, R. F., Khalid, R. W., & Mahmood, M. B. (2024). The application of neural networks in diagnosing heart disease: A review. International Journal of Medical and All Body Health Research, 5(3), 08-15. https://doi.org/10.54660/IJMBHR.2024.5.3.08-15
Alsawaf, Rahma S, et al. "The application of neural networks in diagnosing heart disease: A review." International Journal of Medical and All Body Health Research, vol. 5, no. 3, 2024, pp. 08-15. https://doi.org/10.54660/IJMBHR.2024.5.3.08-15.
Alsawaf, R. S., Dawood, R. F., Khalid, R. W. and Mahmood, M. B. (2024) 'The application of neural networks in diagnosing heart disease: A review', International Journal of Medical and All Body Health Research, 5(3), pp. 08-15. doi: 10.54660/IJMBHR.2024.5.3.08-15.
Alsawaf RS, Dawood RF, Khalid RW, Mahmood MB. The application of neural networks in diagnosing heart disease: A review. International Journal of Medical and All Body Health Research. 2024;5(3):08-15. doi:10.54660/IJMBHR.2024.5.3.08-15
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