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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Ensemble based Model for Diabetes Prediction and COVID-19 Mortality Risk Assessment in Diabetic Patients

Dr. Sushma Jaiswal, Ms. Priyanka Gupta, , ,
Guru ghasidas University Koni, Bilaspur (C.G.)

Millions of individuals worldwide suffer from the chronic ailment known as diabetes, which can harm several organs including the kidneys, eyes, and heart arteries. Diabetes patients are those who are most impacted by COVID 19. This study explores the use of machine learning techniques for predicting diabetes and assessing COVID-19 mortality risks for diabetic patients. The study was conducted on a diabetes and covid 19 datasets containing demographic and clinical features of patients. On both the datasets, the machine learning techniques Support Vector Machine, Random Forest, Multilayer perceptron, naïve bayes and Logistic Regression are used. additionally, their combination is employed to improve the performances of the models. The accuracy, precision, recall, and F1-score of these algorithms were evaluated to determine their performance in predicting diabetes and covid 19. By making this enhancement, healthcare services could use less time, labour, and resources while also making decisions with more reliability. The results of the study showed that the ensemble model had the highest accuracy in predicting diabetes and covid 19. The study also found that older age, higher HbA1c levels, and the presence of comorbidities were significant predictors of mortality risk in diabetic patients with COVID-19. The study concludes that machine learning techniques can be useful in predicting diabetes and assessing COVID-19 mortality risks in diabetic patients, and these findings could aid in developing effective preventive and treatment strategies for diabetes and COVID-19.

Dr. Sushma Jaiswal,Ms. Priyanka Gupta."Ensemble based Model for Diabetes Prediction and COVID-19 Mortality Risk Assessment in Diabetic Patients ". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.10, Issue 03,pp.99-106, March - 2023, URL :,

Keywords : Machine LearningHealthcareEnsemble Model

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