COMPARISON AND SELECTION OF MACHINE LEARNING ALGORITHMS FOR DIABETES PREDICTION: AN EXPLORATORY QUANTITATIVE STUDY BASED ON MEDICAL DATA ANALYSIS
REGISTRO DOI: 10.5281/zenodo.10975177 Vinicius De Souza Santos Abstract. The global prevalence of diabetes is increasing at an alarming rate, making early and accurate detection a critical area of interest. This study employs Machine Learning techniques to predict the incidence of diabetes in a population of women from the Pima heritage, known for their predisposition to
