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Optimization of the hypertension course prognosis at the primary level based on correlation indices and multiparameter neural network clasterization Opublikowano w: Journal of Education, Health and Sport 2013 / Tom 3 / Numer 9 / s. 87 - 962013CZYSTY TEKST
P. Selskyy, Optimization of the hypertension course prognosis at the primary level based on correlation indices and multiparameter neural network clasterization, Journal of Education, Health and Sport, 2013 / Tom 3 / Numer 9, s. 87 - 96
BIBTEX@Article{ authors = " P. Selskyy", title = "Optimization of the hypertension course prognosis at the primary level based on correlation indices and multiparameter neural network clasterization", journal = "Journal of Education, Health and Sport", issue = "2013 / Tom 3 / Numer 9", pages = "87 - 96" }