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Call for Papers:Vol.11 Issue.3

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Title: :  GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH
PaperId: :  11632
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11632
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mahima.SAnand institute of Higher technology
Devika.SAnand Institute of Higher technology
Gopikamani.VAnand Institute of Higher Technology
Mrs.K.RejiniAnand Institute of higher Technology

Abstract

Computer science and Engineering
Dataset, Diabetes prediction, SMLT, Machine learning-Classification method, python, Prediction of Accuracy result.
In 2040, the world’s diabetic patients will reach 642 million, which means that one`s of the ten adults in the future is suffering from diabetes. Diabetes Mellitus (DM) is defined a group of metabolic disorders exerting significant pressure on human health worldwide. DM is a chronic disease characterized by hyperglycaemia and it may cause many complications. To prevent this problem, to analyse the given hospital dataset by supervised machine learning technique (SMLT) while capturing several information’s like variable identification uni-variate analysis, bi-variate analysis, multi-variate analysis, missing value treatments and analyse the data validation, data cleaning/preparing and data visualization. Our analysis provides a comprehensive guide to sensitivity analysis of model parameters with regard to performance in prediction of diabetic patients by given attributes of dataset with evaluation of GUI based user interface diabetes attribute prediction. Additionally, it observes to lead to an increase in the highest accuracy in diabetic prediction of attributes using a better classification report, identifying the confusion matrix and categorizing data from priority and the result shows that the effectiveness of the proposed machine learning algorithm technique can be compared with the best accuracy with precision, Recall and F1 Score.

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IJARIIE Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. "GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 787-796
MLA Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. "GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 787-796.
APA Mahima.S, Devika.S, Gopikamani.V, & Mrs.K.Rejini. (2020). GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 787-796.
Chicago Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. "GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 787-796.
Oxford Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. 'GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 787-796. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/GUI__BASED__PREDICTION__OF__DIABETIC__STAGES_ACCURATELY__USING__MACHINE__LEARNING__APPROACH_ijariie11632.pdf (Accessed : 02 May 2020).
Harvard Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. (2020) 'GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 787-796IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/GUI__BASED__PREDICTION__OF__DIABETIC__STAGES_ACCURATELY__USING__MACHINE__LEARNING__APPROACH_ijariie11632.pdf (Accessed : 02 May 2020)
IEEE Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini, "GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 787-796, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/GUI__BASED__PREDICTION__OF__DIABETIC__STAGES_ACCURATELY__USING__MACHINE__LEARNING__APPROACH_ijariie11632.pdf [Accessed : 02 May 2020].
Turabian Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. "GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (02 May 2020).
Vancouver Mahima.S, Devika.S, Gopikamani.V, and Mrs.K.Rejini. GUI BASED PREDICTION OF DIABETIC STAGES ACCURATELY USING MACHINE LEARNING APPROACH. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 02 May 2020]; 6(2) : 787-796. Available from: https://ijariie.com/AdminUploadPdf/GUI__BASED__PREDICTION__OF__DIABETIC__STAGES_ACCURATELY__USING__MACHINE__LEARNING__APPROACH_ijariie11632.pdf
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