Abstract
Technology develops rapidly in different areas of knowledge, one of these areas is medicine. This paper presents a proposal for the automation of diagnosis of pathologies using techniques and methods of Machine Learning (AM) classification. Through the methods that will be explained and implemented, the information contained in the databases will be analyzed and classified, generating results. With the use of techniques for medical diagnosis, pathologies are detected at the less advanced stage of the disease and more accurately, when compared to a fully human diagnosis it is influenced by external individuals, which can affect any diagnosis of the patient. This work seeks to analyze data and classify according to the methods to be cited, and finally can be defined the most feasible and effective applied method.
Cite
CITATION STYLE
Miki Takakura, A., Roberto Pereira, D., Assis da Silva, F., Augusto Pazoti, M., Luiz de Almeida, L., & Molina Sapia, H. (2018). USO DO APRENDIZADO DE MÁQUINA NO DIAGNÓSTICO MÉDICO DE PATOLOGIAS. COLLOQUIUM EXACTARUM, 10(1), 78–90. https://doi.org/10.5747/ce.2018.v10.n1.e225
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