Técnicas matemáticas para diagnosis médica
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2021
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Abstract
Un diagnóstico correcto es de vital importancia para la vida del paciente, pues de lo contrario se le puede negar una terapia oportuna o administrar medicamentos potencialmente tóxicos. No obstante, en la mayoría de los casos, lograr un diagnóstico certero puede ser de gran complejidad, pues el médico debe tener en cuenta numerosos y complejos factores. A lo largo de este trabajo se verá como, mediante la aplicación de técnicas matemáticas, se puede disminuir la incertidumbre que acompaña a los médicos en la toma de decisiones. Se estudiarán los pasos a seguir en el caso del diagnóstico de la tuberculosis, para después extrapolar los procedimientos seguidos a otras enfermedades infecciosas. En concreto, se indicarán los factores a tener en cuenta para un diagnóstico correcto del COVID-19.
A correct diagnosis is extremely important to the patient's life; otherwise a convenient therapy could be denied to him or he could receive toxic medication. However, most of the time it is incredibly difficult to get an accurate iagnosis, as physicians need to take into account numerous factors. During this project it will be seen how we can apply mathematics to reduce the uncertainty around physicians' decisions. It will be shown what steps must be followed to diagnose active tuberculosis with the goal of being able to follow the same procedure with other infectious diseases such as COVID-19.
A correct diagnosis is extremely important to the patient's life; otherwise a convenient therapy could be denied to him or he could receive toxic medication. However, most of the time it is incredibly difficult to get an accurate iagnosis, as physicians need to take into account numerous factors. During this project it will be seen how we can apply mathematics to reduce the uncertainty around physicians' decisions. It will be shown what steps must be followed to diagnose active tuberculosis with the goal of being able to follow the same procedure with other infectious diseases such as COVID-19.