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Revista Cubana de Investigaciones Biomédicas

ISSN 1561-3011 (Electronic)
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2022, Number 1

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Rev Cubana Invest Bioméd 2022; 41 (1)

Solving medical problems using mathematical models of quantitative and qualitative prediction

Escalona FLA
Full text How to cite this article

Language: Spanish
References: 0
Page: 1-19
PDF size: 397.03 Kb.


Key words:

methodological paradigms, resolution of medical problems, quantitative and qualitative mathematical models, coronavirus.

ABSTRACT

Introduction: The evolution of methodological paradigms underpins mathematical models and their applications in different fields of science, in particular, medical sciences.
Objective: To solve medical problems according to the evolution and approaches of methodological paradigms.
Methods: Theoretical methods are used: analysis and synthesis, induction and deduction, abstraction and concretion, and the logical historical method. Construction of curves of functions and their reasons for change. Mathematical methods, procedures and algorithms are applied, as well as the approaches of clinical and epidemiological methods.
Analysis and integration of information: Medical problems are solved according to the evolution and approaches of methodological paradigms, through mathematical models of quantitative and qualitative prediction, comparative analysis facilitates the understanding, explanation and interpretation of the information represented, from the behavior of the phenomena and / or processes under study.
Conclusions: The resolution of medical problems through the application of mathematical models of quantitative and qualitative prediction, which describe the continuous, discontinuous (jumping) and stochastic behaviors, constitute alternatives to adopt decisions and verify treatments in patients, from the clinical and epidemiological approaches. These same models are useful in solving the training aspects of future specialists.





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C?MO CITAR (Vancouver)

Rev Cubana Invest Bioméd. 2022;41