Cluster analysis and development of the intellectual cancer monitoring system based on data of the Federal Penitentiary Service of Russia

The article considers the possibilities of using cluster analysis and modeling of cancer monitoring in inmates. The article presents the analysis based on the hierarchical clustering, the k-means method along with F-test criterion for the main indicators monitored in the penitentiary system. The app...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-12, Vol.1399 (3), p.33027
Main Authors: Ponomarev, S B, Burt, A A, Dyuzheva, E V, Polishchuk, V E, Ponomarev, D S
Format: Article
Language:English
Subjects:
Cancer
Cluster analysis
Clustering
Indicators
Modelling
Monitoring
Neoplasms
Physics
Regression analysis
Statistical analysis
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Summary:The article considers the possibilities of using cluster analysis and modeling of cancer monitoring in inmates. The article presents the analysis based on the hierarchical clustering, the k-means method along with F-test criterion for the main indicators monitored in the penitentiary system. The application of modeling was analyzed using the example of regression analysis of the data. The development of the model was relative to the indicator of the proportion of mortality rate to the total number of malignant neoplasms. According to the statistic data of 2018, the main statistical indicators on oncopathology in inmates reflect a similar situation in the whole country. The researchers consider the possibility to apply the results obtained not only within the penitentiary system, but also to monitor the situation with cancer in the country in general.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1399/3/033027