Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications

Luis Alberto Escalona-Fernández

doi:doi:10.11648/j.ijtam.20210701.12

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Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications

Luis Alberto Escalona-Fernández

Published in International Journal of Theoretical and Applied Mathematics (Volume 7, Issue 1)

Received: 11 December 2020 Accepted: 18 December 2020 Published: 9 February 2021

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Abstract

Background: updating methods, procedures and mathematical elementary algorithms, constitute a tool of work for the reliability of the results of any study, and in medical applications. Aims: confirming the behavior of the experimental intervening data the modelation, through the linear regression equations, according to the methods, procedures and mathematical elementary algorithms, the ones that they are not necessary in knowledge and abilities of differential calculus. Method: they use the theoretic methods: Analysis synthesis, induction deduction and abstraction concretion. Process of understanding, explanation and interpretation. Methods, procedures and mathematical algorithms, as well as statistical methods and information-technology professional programs are applicable. Results: empiric formulas follow on from a mathematical model, which confirms the behavior of the experimental data by means of the simulation, a medical problem gets worked out, the correlation coefficient is checked for sampling, a confidence interval of the linear correlation coefficient estimates itself, helped in information-technology professional programs. Conclusions: they indicate methods, procedures and the mathematical elementary algorithms to construct a model, which confirm the behavior of the experimental data, and theoreticians for simulation, as from nature and the logical order of the study, helped for information-technology professional programs.

Published in	International Journal of Theoretical and Applied Mathematics (Volume 7, Issue 1)
DOI	10.11648/j.ijtam.20210701.12
Page(s)	12-16
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Experimental Data, Mathematical Elementary Methods, Medical Applications

References

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Luis Alberto Escalona-Fernández. (2021). Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. International Journal of Theoretical and Applied Mathematics, 7(1), 12-16. https://doi.org/10.11648/j.ijtam.20210701.12

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ACS Style

Luis Alberto Escalona-Fernández. Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. Int. J. Theor. Appl. Math. 2021, 7(1), 12-16. doi: 10.11648/j.ijtam.20210701.12

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AMA Style

Luis Alberto Escalona-Fernández. Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. Int J Theor Appl Math. 2021;7(1):12-16. doi: 10.11648/j.ijtam.20210701.12

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@article{10.11648/j.ijtam.20210701.12,
  author = {Luis Alberto Escalona-Fernández},
  title = {Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications},
  journal = {International Journal of Theoretical and Applied Mathematics},
  volume = {7},
  number = {1},
  pages = {12-16},
  doi = {10.11648/j.ijtam.20210701.12},
  url = {https://doi.org/10.11648/j.ijtam.20210701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20210701.12},
  abstract = {Background: updating methods, procedures and mathematical elementary algorithms, constitute a tool of work for the reliability of the results of any study, and in medical applications. Aims: confirming the behavior of the experimental intervening data the modelation, through the linear regression equations, according to the methods, procedures and mathematical elementary algorithms, the ones that they are not necessary in knowledge and abilities of differential calculus. Method: they use the theoretic methods: Analysis synthesis, induction deduction and abstraction concretion. Process of understanding, explanation and interpretation. Methods, procedures and mathematical algorithms, as well as statistical methods and information-technology professional programs are applicable. Results: empiric formulas follow on from a mathematical model, which confirms the behavior of the experimental data by means of the simulation, a medical problem gets worked out, the correlation coefficient is checked for sampling, a confidence interval of the linear correlation coefficient estimates itself, helped in information-technology professional programs. Conclusions: they indicate methods, procedures and the mathematical elementary algorithms to construct a model, which confirm the behavior of the experimental data, and theoreticians for simulation, as from nature and the logical order of the study, helped for information-technology professional programs.},
 year = {2021}
}

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TY  - JOUR
T1  - Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications
AU  - Luis Alberto Escalona-Fernández
Y1  - 2021/02/09
PY  - 2021
N1  - https://doi.org/10.11648/j.ijtam.20210701.12
DO  - 10.11648/j.ijtam.20210701.12
T2  - International Journal of Theoretical and Applied Mathematics
JF  - International Journal of Theoretical and Applied Mathematics
JO  - International Journal of Theoretical and Applied Mathematics
SP  - 12
EP  - 16
PB  - Science Publishing Group
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UR  - https://doi.org/10.11648/j.ijtam.20210701.12
AB  - Background: updating methods, procedures and mathematical elementary algorithms, constitute a tool of work for the reliability of the results of any study, and in medical applications. Aims: confirming the behavior of the experimental intervening data the modelation, through the linear regression equations, according to the methods, procedures and mathematical elementary algorithms, the ones that they are not necessary in knowledge and abilities of differential calculus. Method: they use the theoretic methods: Analysis synthesis, induction deduction and abstraction concretion. Process of understanding, explanation and interpretation. Methods, procedures and mathematical algorithms, as well as statistical methods and information-technology professional programs are applicable. Results: empiric formulas follow on from a mathematical model, which confirms the behavior of the experimental data by means of the simulation, a medical problem gets worked out, the correlation coefficient is checked for sampling, a confidence interval of the linear correlation coefficient estimates itself, helped in information-technology professional programs. Conclusions: they indicate methods, procedures and the mathematical elementary algorithms to construct a model, which confirm the behavior of the experimental data, and theoreticians for simulation, as from nature and the logical order of the study, helped for information-technology professional programs.
VL  - 7
IS  - 1
ER  -

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Author Information

Luis Alberto Escalona-Fernández

Department of Medical Information Technology, Faculty of Medical Sciences. Holguín University of Medical Sciences, Holguín, Cuba

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APA Style

Luis Alberto Escalona-Fernández. (2021). Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. International Journal of Theoretical and Applied Mathematics, 7(1), 12-16. https://doi.org/10.11648/j.ijtam.20210701.12

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ACS Style

Luis Alberto Escalona-Fernández. Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. Int. J. Theor. Appl. Math. 2021, 7(1), 12-16. doi: 10.11648/j.ijtam.20210701.12

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AMA Style

Luis Alberto Escalona-Fernández. Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications. Int J Theor Appl Math. 2021;7(1):12-16. doi: 10.11648/j.ijtam.20210701.12

Copy | Download

@article{10.11648/j.ijtam.20210701.12,
  author = {Luis Alberto Escalona-Fernández},
  title = {Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications},
  journal = {International Journal of Theoretical and Applied Mathematics},
  volume = {7},
  number = {1},
  pages = {12-16},
  doi = {10.11648/j.ijtam.20210701.12},
  url = {https://doi.org/10.11648/j.ijtam.20210701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20210701.12},
  abstract = {Background: updating methods, procedures and mathematical elementary algorithms, constitute a tool of work for the reliability of the results of any study, and in medical applications. Aims: confirming the behavior of the experimental intervening data the modelation, through the linear regression equations, according to the methods, procedures and mathematical elementary algorithms, the ones that they are not necessary in knowledge and abilities of differential calculus. Method: they use the theoretic methods: Analysis synthesis, induction deduction and abstraction concretion. Process of understanding, explanation and interpretation. Methods, procedures and mathematical algorithms, as well as statistical methods and information-technology professional programs are applicable. Results: empiric formulas follow on from a mathematical model, which confirms the behavior of the experimental data by means of the simulation, a medical problem gets worked out, the correlation coefficient is checked for sampling, a confidence interval of the linear correlation coefficient estimates itself, helped in information-technology professional programs. Conclusions: they indicate methods, procedures and the mathematical elementary algorithms to construct a model, which confirm the behavior of the experimental data, and theoreticians for simulation, as from nature and the logical order of the study, helped for information-technology professional programs.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Establishments of Empiric Intervening Formulas Methods, Procedures and Mathematical Elementary Algorithms: Medical Applications
AU  - Luis Alberto Escalona-Fernández
Y1  - 2021/02/09
PY  - 2021
N1  - https://doi.org/10.11648/j.ijtam.20210701.12
DO  - 10.11648/j.ijtam.20210701.12
T2  - International Journal of Theoretical and Applied Mathematics
JF  - International Journal of Theoretical and Applied Mathematics
JO  - International Journal of Theoretical and Applied Mathematics
SP  - 12
EP  - 16
PB  - Science Publishing Group
SN  - 2575-5080
UR  - https://doi.org/10.11648/j.ijtam.20210701.12
AB  - Background: updating methods, procedures and mathematical elementary algorithms, constitute a tool of work for the reliability of the results of any study, and in medical applications. Aims: confirming the behavior of the experimental intervening data the modelation, through the linear regression equations, according to the methods, procedures and mathematical elementary algorithms, the ones that they are not necessary in knowledge and abilities of differential calculus. Method: they use the theoretic methods: Analysis synthesis, induction deduction and abstraction concretion. Process of understanding, explanation and interpretation. Methods, procedures and mathematical algorithms, as well as statistical methods and information-technology professional programs are applicable. Results: empiric formulas follow on from a mathematical model, which confirms the behavior of the experimental data by means of the simulation, a medical problem gets worked out, the correlation coefficient is checked for sampling, a confidence interval of the linear correlation coefficient estimates itself, helped in information-technology professional programs. Conclusions: they indicate methods, procedures and the mathematical elementary algorithms to construct a model, which confirm the behavior of the experimental data, and theoreticians for simulation, as from nature and the logical order of the study, helped for information-technology professional programs.
VL  - 7
IS  - 1
ER  -

Copy | Download