An Experimental Study of Diversity of Diabetes Disease Features by Bagging and Boosting Ensemble Method with Rule Based Machine Learning Classifier Algorithms

[1]  Lutz Bornmann,et al.  Citation concept analysis (CCA): a new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by exemplary case studies including classic books by Thomas S. Kuhn and Karl R. Popper , 2019, Scientometrics.

[2]  Changsheng Zhu,et al.  Improved logistic regression model for diabetes prediction by integrating PCA and K-means techniques , 2019, Informatics in Medicine Unlocked.

[3]  George Nagy Green Information Extraction from Family Books , 2020, SN Comput. Sci..

[4]  Harleen Kaur,et al.  Predictive modelling and analytics for diabetes using a machine learning approach , 2020, Applied Computing and Informatics.

[5]  Dhyan Chandra Yadav,et al.  Thyroid prediction using ensemble data mining techniques , 2019, International Journal of Information Technology.

[6]  Chuan Wang,et al.  Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques , 2019, Comput. Biol. Medicine.

[7]  Dhyan Chandra Yadav,et al.  Prediction of thyroid disease using decision tree ensemble method , 2020, Human-Intelligent Systems Integration.

[8]  Dhyan Chandra Yadav Calculating Diagnose Odd Ratio for Thyroid Patients using Different Data Mining Classifiers and Ensemble Techniques , 2020 .

[9]  Dhyan Chandra Yadav,et al.  Discovery of Hidden Pattern in Thyroid Disease by Machine Learning Algorithms , 2020 .

[10]  Benojir Ahammed,et al.  Classification and prediction of diabetes disease using machine learning paradigm , 2020, Health Information Science and Systems.

[11]  Dilip Singh Sisodia,et al.  Prediction of Diabetes using Classification Algorithms , 2018 .

[12]  Shengqi Yang,et al.  Type 2 diabetes mellitus prediction model based on data mining , 2018 .

[13]  Devottam Gaurav,et al.  Smart home health monitoring system for predicting type 2 diabetes and hypertension , 2020, J. King Saud Univ. Comput. Inf. Sci..

[14]  Changping Li,et al.  Status of glycosylated hemoglobin and prediction of glycemic control among patients with insulin-treated type 2 diabetes in North China: a multicenter observational study , 2020, Chinese medical journal.