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Analysis of Personal Dosimetry and Assistance to Patients at a Radiation Therapy Clinic, to Assign Vacation to Exposed Occupational Workers, using Circular Data Analysis

Published: 14 February 2022 Publication History

Abstract

Results of personal dosimetry from occupationally exposed workers were analyzed, as well as the demand for treatments on a radiotherapy clinic. This data was used to determine the optimal time interval to assign vacations to the workers, to optimize patient attention without affecting permissible personal dosimetry of those who work on said vacations. Circular data analysis was used for both samples, to determine the concentration of data on certain months of the year for the corresponding decision making. The results obtained in the present study allow the assignation of vacations for these personnel, optimizing the personal dosimetry during this time and the efficient patient attention.

References

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Batschelet, E. 1981 Circular Statistics in Biology. London: Academic Press.
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Fisher, N.I. 1993 Satistical Anlalysis of Circular Data. Cambridge: Cambridge University Press.
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Flores Hernández, D.; Ramos Miranda, J. y Sosa López, A. 2007. Estadística Descriptiva, Probabilidad y Pruebas de Hipótesis I. Universalidad Autónoma de Campeche. Facultad de Ciencias Químico Biológicas.
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Mardia, K.V. 1972. Statistics of directional data. London: Academic Press.
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Cabrera, J.; Schmidt-Koening, K. y Watson, G.S. 1991. The statistical analysis of circular data. En: P.P.G. Bateson y P.H. Kopler (eds): Human Understanding and Animal Awareness, pp: 285-306. New York: Plenum Press.
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Reyes, Odalis; Hernández, Erick. 2020. Análisis de datos de la protección radiológica individual en un centro de radioterapia, basados en la información del dosímetro personal de los trabajadores ocupacionalmente expuestos. Universidad del Valle de Guatemala, Tesis de grado.

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    BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology
    August 2021
    262 pages
    ISBN:9781450384117
    DOI:10.1145/3502060
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 14 February 2022

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