Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/82724
Title: Machine Learning Technologies and Psychological Testing of Pre-School and Primary School-Aged Children in Diagnostics of Perinatal Affection of the Central Nervous System
Authors: Piyanzin, A.
Ashkinadze, A.
Akinina, Z.
Romanova, O.
Issue Date: 2018
Publisher: Knowledge E
Citation: Machine Learning Technologies and Psychological Testing of Pre-School and Primary School-Aged Children in Diagnostics of Perinatal Affection of the Central Nervous System / A. Piyanzin, A. Ashkinadze, Z. Akinina, O. Romanova // The Fifth International Luria Memorial Congress «Lurian Approach in International Psychological Science» (Ekaterinburg, Russia, 13–16 October, 2017). – Dubai : Knowledge E, 2018. – KnE Life Sciences, 4 (8). – pp. 750-753. – DOI 10.18502/kls.v4i8.3332
Abstract: The present study deals with computer-assisted learning technologies used for the analysis of psychological test results of children to diagnosis perinatal affection of the central nervous system. The mathematical models of logistic regression and gradient boosting give the best results within the accuracy of 81%.
Keywords: MACHINE LEARNING
CHILDREN
CENTRAL NERVOUS SYSTEM
PERINATAL AFFECTION
URI: http://hdl.handle.net/10995/82724
metadata.dc.rights: Creative Commons Attribution License
License text: https://creativecommons.org/licenses/by/4.0/
Conference name: The Fifth International Luria Memorial Congress «Lurian Approach in International Psychological Science»
Conference date: 13.10.2017-16.10.2017
ISSN: 2413-0877
DOI: 10.18502/kls.v4i8.3332
Origin: The Fifth International Luria Memorial Congress «Lurian Approach in International Psychological Science». — Ekaterinburg, 2018
Appears in Collections:Конференции, семинары

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