Variety of stroke prediction models, risk factors and underlying data sets
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2020-07-13 17:57
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MAGARIU, Galina; VERLAN, Tatiana. Variety of stroke prediction models, risk factors and underlying data sets. In: Conference of Mathematical Society of the Republic of Moldova. 4, 28 iunie - 2 iulie 2017, Chişinău. Chişinău: Centrul Editorial-Poligrafic al USM, 2017, pp. 523-528. ISBN 978-9975-71-915-5.
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Conference of Mathematical Society of the Republic of Moldova
4, 2017
Conferința "Conference of Mathematical Society of the Republic of Moldova"
Chişinău, Moldova, 28 iunie - 2 iulie 2017

Variety of stroke prediction models, risk factors and underlying data sets

Pag. 523-528

Magariu Galina, Verlan Tatiana
 
Institute of Mathematics and Computer Science ASM
 
Disponibil în IBN: 6 octombrie 2017


Rezumat

This work is devoted to the analyses of variety of stroke prediction models, risk factors and underlying data sets taken into account. The aim is to define the most appropriate ones for stroke prediction model construction in the conditions of Moldova clinics and population.

Cuvinte-cheie
stroke prediction models, underlying data set, NIHSS score, Bartel scale,

risk factors