Data preparation in the process of prognostic model STROKE.MD creation
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2021-08-01 22:39
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COJOCARU, Svetlana, GAINDRIC, Constantin, MAGARIU, Galina, VERLAN, Tatiana. Data preparation in the process of prognostic model STROKE.MD creation. In: Conference on Mathematical Foundations of Informatics, Ed. 2017, 9-11 noiembrie 2017, Chișinău. Chișinău, Republica Moldova: "VALINEX" SRL, 2017, pp. 59-64. ISBN 978‐9975‐4237‐6‐2.
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Conference on Mathematical Foundations of Informatics 2017
Conferința "Conference on Mathematical Foundations of Informatics"
2017, Chișinău, Moldova, 9-11 noiembrie 2017

Data preparation in the process of prognostic model STROKE.MD creation


Pag. 59-64

Cojocaru Svetlana, Gaindric Constantin, Magariu Galina, Verlan Tatiana
 
Institute of Mathematics and Computer Science ASM
 
Disponibil în IBN: 19 martie 2018


Rezumat

Process of data preparation for prognostic model creation is the most durational one which can take up to 80% of the total project. In the article the process of data preparation for construction of the prognostic classification model for stroke patients in the conditions of Moldova hospitals.

Cuvinte-cheie
prognostic model, data preparation,

stroke patients, feature selection, training set, test set

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<dc:creator>Cojocaru, S.C.</dc:creator>
<dc:creator>Gaindric, C.V.</dc:creator>
<dc:creator>Magariu, G.A.</dc:creator>
<dc:creator>Verlan, T.B.</dc:creator>
<dc:date>2017</dc:date>
<dc:description xml:lang='en'><p>Process of data preparation for prognostic model creation is the most durational one which can take up to 80% of the total project. In the article the process of data preparation for construction of the prognostic classification model for stroke patients in the conditions of Moldova hospitals.</p></dc:description>
<dc:source>Conference on Mathematical Foundations of Informatics () 59-64</dc:source>
<dc:subject>prognostic model</dc:subject>
<dc:subject>stroke patients</dc:subject>
<dc:subject>data preparation</dc:subject>
<dc:subject>feature selection</dc:subject>
<dc:subject>training set</dc:subject>
<dc:subject>test set</dc:subject>
<dc:title>Data preparation in the process of prognostic model STROKE.MD creation</dc:title>
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