informИнформатикаInformatics1816-03012617-6963UIIP NASBinform-171Research ArticleОБРАБОТКА ИЗОБРАЖЕНИЙ И РАСПОЗНАВАНИЕ ОБРАЗОВПРОСТРАНСТВЕННО-ВРЕМЕННОЙ КЛАСТЕРНЫЙ АНАЛИЗ ЗАБОЛЕВАЕМОСТИSPATIO-TEMPORAL CLUSTER ANALYSIS OF DISEASEАбрамовичМ. С.AbramovichM. S.abramovichms@bsu.byАнищенкоС. В.AnishchankaS. V.serg.anishchenko@gmail.comМицкевичМ. Н.MitskevichM. M.face@neicon.ruБыдановО. И.BydanovO. I.budanov@oncology.byНИИ прикладных проблем математики и информатики Белорусского государственного университетаBelarusООО «Ай-Джи Дев»BelarusНаучно-практический центр детской онкологии, гематологии и иммунологии,Belarus201407102016047584Copyright © Абрамович М.С., Анищенко С.В., Мицкевич М.Н., Быданов О.И., 20162016Абрамович М.С., Анищенко С.В., Мицкевич М.Н., Быданов О.И.Abramovich M.S., Anishchanka S.V., Mitskevich M.M., Bydanov O.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://inf.grid.by/jour/article/view/171

Рассматриваются методы и алгоритмы обнаружения и построения кластеров заболевае-мости на изучаемой территории. Предлагается робастная версия пространственной сканирующей статистики для построения кластеров. Алгоритмы пространственно-временного кластерного анализа применяются для обнаружения кластеров заболеваемости карциномой щитовидной железы.

The robust version of the spatial scanning statistics for clustering is proposed. Spatio-temporal cluster analysis algorithms were used for the cluster detection of incidence of thyroid carcinoma. Me-thods and algorithms of detection and building clusters for disease on studying territories are consi-dered.

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The authors declare that there are no conflicts of interest present.