Identifying Diabetic Patient Profile Through Machine Learning-Based Clustering Analysis

Author:

Gomes João,Lopes João,Guimarães Tiago,Santos Manuel Filipe

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

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2. Maria, A., & Gadelha, J. (2009). Global burden of disease attributable to diabetes mellitus in Brazil Carga global de doença devida e atribuível ao diabetes mellitus no Brasil. 25(6), 1234–1244.

3. Cascading K-means Clustering and K-Nearest Neighbor Classifier for Categorization of Diabetic Patients 148;Gowda Karegowda;International Journal of Engineering and Advanced Technology,2012

4. Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project;Alghamdi;PLoS ONE,2017

5. V. Vijay, B. Kuechler, e S. Petter, «Design Science Research in Information Systems», n. 1, pp. 1–66, 2012, doi: 1756-0500-5-79[pii]\r10.1186/1756-0500-5-79.

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