Abstract
Diabetes is one of the most common disorders in this modern society. In general, Diabetes-mellitus refers to the metabolic disorder by means of malfunction in insulin secretion and action. The proposed optimized machine learning models both decision tree and random forest models presented in this paper must predict the diabetes mellitus based the factors like BP, BMI and GL. The results build from the data sets are more precise, crisp and can be applied for health care sectors. This proposed model is more suitable for optimized decision making in health care environment.
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Challa, M., Chinnaiyan, R. (2020). Optimized Machine Learning Approach for the Prediction of Diabetes-Mellitus. In: Smys, S., Tavares, J., Balas, V., Iliyasu, A. (eds) Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-37218-7_37
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DOI: https://doi.org/10.1007/978-3-030-37218-7_37
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