Real-Time Prediction of Diabetes Complications Using Regression-Based Machine Learning Models
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1923-5_21
Reference22 articles.
1. Misra A, Gopalan H, Jayawardena R, Hills AP, Soares M, Reza-Albarrán AA, Ramaiya KL (2019) Diabetes in developing countries. J Diabetes 11(7):522–539. https://doi.org/10.1111/1753-0407.12913
2. Ravindranath V, Sasikala R, Ramasubbareddy S, Remya S, Nalluri S (2017) Genetic algorithm based feature selection and MOE fuzzy classification algorithm on Pima Indians diabetes dataset, 1–5. https://doi.org/10.1109/ICCNI.2017.8123815
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4. Alyoubi WL, Shalash WM, Abulkhair MF (2020) Diabetic retinopathy detection through deep learning techniques: a review. Inf Med Unlocked 20:100377
5. Makroum MA, Adda M, Bouzouane A, Ibrahim H (2022) Machine learning and smart devices for diabetes management: systematic review. Sensors 22(5):1843. https://doi.org/10.3390/s22051843
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