Comparing Different Machine Learning Techniques in Predicting Diabetes on Early Stage-Reference-Cited by-同舟云学术

Comparing Different Machine Learning Techniques in Predicting Diabetes on Early Stage

Published:2024-03-22 Issue: Volume:7 Page:20
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Container-title:CC 2023
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Author:

Yadu Shweta¹^ORCID,Chandra Rashmi²,Sinha Vivek Kumar³^ORCID

Affiliation:

1. Department of Computer Science Engineering, Raipur Institute of Technology, Raipur 492101, Chhattisgarh, India

2. Department of Computer Science and Engineering, Chhattisgarh Swami Vivekanand Technical University, Newai, Bhilai 491107, Chhattisgarh, India

3. Department of Computer Science and Engineering, Noida International University, Greater Noida 203201, Uttar Pradesh, India

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/62/1/20/pdf

Reference28 articles.

1. Development of Disease Prediction Model Based on Ensemble Learning Approach for Diabetes and Hypertension;Fitriyani;IEEE Access,2019

2. Banchhor, M., and Singh, P. (2021, January 21–23). Comparative study of ensemble learning algorithms on early stage diabetes risk prediction. Proceedings of the 2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India.

3. Warsi, G.G., Saini, S., and Khatri, K. (2019, January 27–28). Ensemble Learning on Diabetes Data Set and Early Diabetes Prediction. Proceedings of the 2019 International Conference on Computing, Power and Communication Technologies (GUCON), New Delhi, India.

4. Developing a predicted model for diabetes type 2 treatment plans by using data mining;Ahmed;J. Theor. Appl. Inf. Technol.,2016

5. Lohani, B.P., and Thirunavukkarasan, M. (2021, January 10–12). A Review: Application of Machine Learning Algorithm in Medical Diagnosis. Proceedings of the 2021 International Conference on Technological Advancements and Innovations (ICTAI), Tashkent, Uzbekistan.