Comparative Analysis of Data Mining Classification Algorithms in Type-2 Diabetes Prediction Data Using WEKA Approach

Author:

Ahmed Kawsar,Jesmin Tasnuba

Publisher

Faculty of Engineering Diponegoro University

Subject

General Medicine

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Determining the probability of occurrence of diabetic cardiovascular disorder using machine learning algorithms;ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH;2023

2. Analysis of title influence on popularity of forum postings using text mining: Case study on Kaskus.com;THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021;2023

3. Synthetic minority over-sampling technique nominal continous logistic regression for imbalanced data;AIP Conference Proceedings;2022

4. Comparison of Adolescent Vaccination Data Accuracy by Urban Village in DKI Jakarta Province in July 2021 Using Several Data Mining Methods;2021 International Conference on Artificial Intelligence and Big Data Analytics;2021-10-27

5. Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation;Archives of Computational Methods in Engineering;2021-04-15

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