ISSN: 2310-757X
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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