Smart algorithm for the automation of medical consultations of primary care.
Keywords:
Neural networks, intelligent algorithms, artificial intelligence, data analysis, dengue, hepatitis, diabetes, bronchial asthma, gastritis, parasitism, primary health care.Abstract
The present research work was based on the development of an intelligent algorithm for the diagnosis of some primary care diseases such as dengue, viral hepatitis, gastritis, bronchial asthma, diabetes mellitus type 1 and intestinal parasitism, in which was necessary to study the process of a consultation and the relationship between doctor- patient in addition to the symptoms related to these pathologies, the elaboration of the table of weights, where the weight of each symptom or influential habit was determined in each case. The main language for the algorithm was Python, based on artificial intelligence and data analysis, concluding that the implementation of these methods generates benefits ranging from time reduction to precision when making decisions in the diagnosis doctor.
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Copyright (c) 2019 Ysabella Coromoto Navas Borjas
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