A neural expert network system for diagnosis and prognosis of cardiovascular diseases was developed. Computer experiments using the system revealed that the current medical practice of recommending hypocholesteric diet, avoidance of pernicious habits, limitation in consumption of coffee and alcohol, sliming, and reduced physical and mental load to all cardiologic patients is not universally correct. It is demonstrated that some of these recommendations can even prove harmful to some patients. The diagnostic system suggested in this work allows such atypical patients to be recognized and personal recommendations for such patients to be compiled.
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Translated from Meditsinskaya Tekhnika, Vol. 47, No. 3, May−Jun., 2013, pp. 42–44.
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Yasnitsky, L.N., Dumler, A.A., Bogdanov, K.V. et al. Diagnosis and Prognosis of Cardiovascular Diseases on the Basis of Neural Networks. Biomed Eng 47, 160–163 (2013). https://doi.org/10.1007/s10527-013-9359-0