2025-02-22T17:54:38-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-175552%22&qt=morelikethis&rows=5
2025-02-22T17:54:38-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-175552%22&qt=morelikethis&rows=5
2025-02-22T17:54:39-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T17:54:39-05:00 DEBUG: Deserialized SOLR response

Методи поліпшення точності діагностики деменції за допомогою скорочення розмірності ознак

In this paper, the problem of choosing the right feature for diagnosing Dementia is discussed. Several features that could affect dementia were reviewed and their importance was evaluated. Random forest algorithm and SVM for the dementia diagnosis have been developed and investigated. Experiments we...

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Bibliographic Details
Main Authors: Naderan, Maryam, Zaychenko, Yuriy P.
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
Subjects:
Online Access:http://journal.iasa.kpi.ua/article/view/175552
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