Prediction of Glycemic Control in Diabetes Mellitus Patients Using Machine Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54820-8_18
Reference28 articles.
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2. Pranto, B., Mehnaz, S.M., Momen, S., Huq, S.M.: Prediction of diabetes using cost sensitive learning and oversampling techniques on Bangladeshi and Indian female patients. In: 2020 5th International Conference on Information Technology Research (ICITR), pp. 1–6. IEEE (2020)
3. Baena-Díez, J.M., et al.: Risk of cause-specific death in individuals with diabetes: a competing risks analysis. Diab. Care 39(11), 1987–1995 (2016)
4. Wild, S., Roglic, G., Green, A., Sicree, R., King, H.: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diab. Care 27(5), 1047–1053 (2004)
5. Hassan, K., Loar, R., Anderson, B.J., Heptulla, R.A.: The role of socioeconomic status, depression, quality of life, and glycemic control in type 1 diabetes mellitus. J. Pediatr. 149(4), 526–531 (2006)
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