Optimization of the hypertension course prognosis at the primary level based on correlation indices and multiparameter neural network clasterization

Full item record

dc.contributor.authorSelskyy, P. R.
dc.date.accessioned2013-09-16T18:02:33Z
dc.date.available2013-09-16T18:02:33Z
dc.date.issued2013
dc.description.epersonWalery Zukow
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/2419
dc.language.isoenen
dc.rightsUznanie autorstwa-Na tych samych warunkach 3.0 Polskapl_PL
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/pl/
dc.titleOptimization of the hypertension course prognosis at the primary level based on correlation indices and multiparameter neural network clasterizationen
dc.title.alternativeОптимизация прогнозирования течения артериальной гипертензии на первичном уровне на основе корреляционных показателей и многопараметрической нейросетевой кластеризацииrus
dc.typearticleen
Files for this record
Original bundle
Now showing 1 - 1 of 1
Name: 291.pdf
Size: 174.63 KB
Format: Adobe Portable Document Format
Description:
License files
Name: license.txt
Size: 234 B
Format: Item-specific license agreed upon to submission
Description:
Belongs to collection