A Comparative Study of Different Machine Learning Tools in Detecting Diabetes

Author:

Ghosh Pronab,Azam Sami,Karim Asif,Hassan Mehedi,Roy Kuber,Jonkman Mirjam

Publisher

Elsevier BV

Subject

General Engineering

Reference30 articles.

1. “Healthcare use and expenditure for diabetes in Bangladesh,”;Islam;BMJ Global Health,2017

2. P. M. S. Sai, G. Anuradha, P. kumar, “Survey on Type 2 Diabetes Prediction Using Machine Learning,” Proceedings of the Fourth International Conference on Computing Methodologies and Communication (ICCMC), 2020.

3. “Status of epidemiology in the WHO South-East Asia region: burden of disease determinants of health and epidemiological research, workforce and training capacity,”;Dhillon;Int Journal of Epidemiology,2012

4. A. Anand, D. Shakti, “Prediction of Diabetes Based on Personal Lifestyle Indicators,” 1st International Conference on Next Generation Computing Technologies (NGCT-2015), Dehradun, India, 4-5 September, 2015

5. “Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes,”;Islam;IEEE Access,2020

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