Data mining in the diagnosis of hypertension based on National Health Survey 2019
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1250Keywords:
Knowledge Discovery, Data Mining, HypertensionAbstract
Hypertension is a disease that affects a large part of the Brazilian population. As it is a very common disease, some of its risk factors are known, but knowing the order of relevance can bring new insights, especially when the objective is to diagnose the disease. The 2019 National Health Survey was recently made available, which provides new information about the health of the Brazilian population. The objective is to assist in the diagnosis of individuals suffering from Systemic Arterial Hypertension through a method for discovering knowledge and classification by Random Forest. Results achieved an average F1-score of 75%. The conclusions indicate that salt intake, staying outside the ideal weight, not practicing moderate physical activities, and smoking, in that order, are very important factors for diagnosing the disease.
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