TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS

A clustering method of biomedical data, which allows to increase the efficiency of the primary diagnosis is considered. Diagnostic process is realized on the basis of diagnostic signs recognition methodology. Simplification of the recognition process is performed by converting the space of initial c...

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Main Authors: A. I. Mitsiukhn, E. N. Maisenia
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
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Online Access:https://doklady.bsuir.by/jour/article/view/719
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author A. I. Mitsiukhn
E. N. Maisenia
author_facet A. I. Mitsiukhn
E. N. Maisenia
author_sort A. I. Mitsiukhn
collection DOAJ
description A clustering method of biomedical data, which allows to increase the efficiency of the primary diagnosis is considered. Diagnostic process is realized on the basis of diagnostic signs recognition methodology. Simplification of the recognition process is performed by converting the space of initial clusters. It is shown a computational algorithm of clustering and classification characteristics.
format Article
id doaj-art-4d15f56d70f343c0b66a54635e9db2ae
institution Kabale University
issn 1729-7648
language Russian
publishDate 2019-06-01
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
record_format Article
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
spelling doaj-art-4d15f56d70f343c0b66a54635e9db2ae2025-08-20T03:37:56ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01072934718TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSISA. I. Mitsiukhn0E. N. Maisenia1Институт информационных технологий Белорусского государственного университета информатики и радиоэлектроникиМинский городской клинический онкологический диспансерA clustering method of biomedical data, which allows to increase the efficiency of the primary diagnosis is considered. Diagnostic process is realized on the basis of diagnostic signs recognition methodology. Simplification of the recognition process is performed by converting the space of initial clusters. It is shown a computational algorithm of clustering and classification characteristics.https://doklady.bsuir.by/jour/article/view/719diagnosisclinical datarecognitioninformative signscovariancecorrelationcluster space
spellingShingle A. I. Mitsiukhn
E. N. Maisenia
TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
diagnosis
clinical data
recognition
informative signs
covariance
correlation
cluster space
title TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
title_full TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
title_fullStr TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
title_full_unstemmed TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
title_short TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS
title_sort transformation of clinical data clusters at the stage of initial diagnosis
topic diagnosis
clinical data
recognition
informative signs
covariance
correlation
cluster space
url https://doklady.bsuir.by/jour/article/view/719
work_keys_str_mv AT aimitsiukhn transformationofclinicaldataclustersatthestageofinitialdiagnosis
AT enmaisenia transformationofclinicaldataclustersatthestageofinitialdiagnosis