El Sistema basado en Inteligencia Artificial para predecir posibles enfermedades a través del análisis de exámenes de Perfil 20

Fernando  Obregón; Carhil Fuentes

doi:10.62876/tekhn.v26i1.5680

Authors

Fernando Obregón
Carhil Fuentes

DOI:

https://doi.org/10.62876/tekhn.v26i1.5680

Keywords:

Profile 20 , deep learning, application, mobile, medical

Abstract

This degree work was developed for the Santa Inés Health Center, specifically for the process of analysis of laboratory tests. After carrying out the study of the process that is executed to send the results of the exams (specifically the Profile 20 exam) to the doctors for later reading, opportunities for improvement were evidenced that would reduce the time in which the doctors obtained the results of said exam.

In medicine, the work of physicians still involves taking a detailed history and careful physical examination. Counting on the support of exams that contain detailed information on various values that allow visualizing the general state; one of these exams is called Profile 20 or General Profile. It should be noted that today doctors have technological tools that allow them to provide a second opinion regarding the diagnosis of diseases. However, currently the Santa Inés Health Center of the Andrés Bello Catholic University does not implement the use of a tool that allows analyzing possible diseases that can be detected through Profile 20. Therefore, this research project is based on To develop the artificial intelligence method called Deep Learning of Multiclass Classification that, applied through a mobile application, can allow predicting diseases through the Profile 20 exam in health center patients. Thus, making it possible to detect 42 diseases from 26 tests that make up Profile 20.

Keywords: Profile 20, deep learning, application, mobile, medical

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References

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