Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters

Author:

Aliyu Hauwau AbdulrahmanORCID,Muritala Ibrahim OlawaleORCID,Bello-Salau HabeebORCID,Mohammed SalisuORCID,Onumanyi Adeiza JamesORCID,Ajayi Ore-Ofe

Funder

Tertiary Education Trust Fund

Publisher

Elsevier BV

Reference42 articles.

1. A comparison of machine learning algorithms for diabetes prediction;Khanam;ICT Express,2021

2. Prediction of postpartum prediabetes by machine learning methods in women with gestational diabetes mellitus;Parkhi;iScience,2023

3. A comparative approach to alleviating the prevalence of diabetes mellitus using machine learning;Islam;Comput. Methods Programs Biomed. Update,2023

4. Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model;Belsti;Int. J. Med. Inform.,2023

5. Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique;khan;Med. Nov. Technol. Devices,2023

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