Sistema de análisis y predicción de riesgos de enfermedades comunes mediante machine learning en la clínica Guayaquil de Quevedo.
At present, technology is advancing, different organizations have seen the need to implement technologies that help them in decision-making and streamline processes, through the development of tools that are capable of learning and seeking a solution to a specific problem. . That is why this project...
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| Format: | bachelorThesis |
| Sprog: | spa |
| Udgivet: |
2021
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| Online adgang: | http://repositorio.utc.edu.ec/handle/27000/8242 |
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Tilføj Tag | Summary: | At present, technology is advancing, different organizations have seen the need to implement technologies that help them in decision-making and streamline processes, through the development of tools that are capable of learning and seeking a solution to a specific problem. . That is why this project is focused on the development of a system that allows the analysis and prediction of risks of common diseases through machine learning at the Guayaquil de Quevedo clinic. In the same way, it focuses on the use of tools that are in the boom in technology so we have machine learning which will allow diagnosing patients who come to the clinic and knowing the most common diseases, to establish the most appropriate treatment for them. patient and his speedy recovery. In addition, an agile methodology will be used for the development of each system requirement, as is the case of the Scrum methodology that allows the realization of the software efficiently since it follows a set of steps to obtain the system that meets the needs of the user. It has been considered convenient to use field research to collect information through the survey and interview instruments, in the same way, bibliographic research was used, which allowed the collection of information to establish the most appropriate tools for the development of the system. |
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