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Call for Papers:Vol.11 Issue.3

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Title: :  Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models
PaperId: :  25269
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25269
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mohmad Ahmed AliShri Jagdishprasad Jhabarmal Tibrewala University, Vidyanagri, Jhunjhunu, Rajasthan
Dr. Hiren DandShri Jagdishprasad Jhabarmal Tibrewala University, Vidyanagri, Jhunjhunu, Rajasthan

Abstract

Computer Science
DSR, DKMN, Diabetic and Deep Learning
This study presents a novel approach to early detection and risk classification of diabetes using interpretable deep learning models, specifically the Deep Learning Multi-Layer Neural Network (DLMNN) framework. The DLMNN outperforms existing methodologies in prediction accuracy due to enhanced data preprocessing techniques and the MKMC algorithm for diabetes diagnosis. The Deep Learning-based Risk (DSR) classifier streamlines the risk analysis process, providing a detailed risk assessment of patients and quantifying potential risk levels associated with diabetes. The DSR classifier demonstrates the system's ability to classify individuals based on their likelihood of developing diabetes, supporting healthcare professionals in prioritizing high-risk patients and contributing to personalized healthcare strategies. The proposed interpretable deep learning framework for early diabetes detection shows significant advancements in accuracy and computational efficiency compared to traditional methods. The findings emphasize the importance of integrating interpretability into deep learning models, ensuring that predictions made can be understood and trusted by healthcare practitioners. This study lays the groundwork for further exploration into the application of deep learning technologies in diabetes management and emphasizes the potential for these models to improve patient outcomes through early diagnosis and tailored interventions.

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IJARIIE Mohmad Ahmed Ali, and Dr. Hiren Dand. "Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 158-164
MLA Mohmad Ahmed Ali, and Dr. Hiren Dand. "Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 158-164.
APA Mohmad Ahmed Ali, & Dr. Hiren Dand. (2024). Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 158-164.
Chicago Mohmad Ahmed Ali, and Dr. Hiren Dand. "Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 158-164.
Oxford Mohmad Ahmed Ali, and Dr. Hiren Dand. 'Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 158-164. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detecting_Diabetes_Early_and_Classifying_Risk_with_Interpretable_Deep_Learning_Models_ijariie25269.pdf (Accessed : 09 November 2024).
Harvard Mohmad Ahmed Ali, and Dr. Hiren Dand. (2024) 'Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 158-164IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detecting_Diabetes_Early_and_Classifying_Risk_with_Interpretable_Deep_Learning_Models_ijariie25269.pdf (Accessed : 09 November 2024)
IEEE Mohmad Ahmed Ali, and Dr. Hiren Dand, "Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 158-164, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detecting_Diabetes_Early_and_Classifying_Risk_with_Interpretable_Deep_Learning_Models_ijariie25269.pdf [Accessed : 09 November 2024].
Turabian Mohmad Ahmed Ali, and Dr. Hiren Dand. "Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 (09 November 2024).
Vancouver Mohmad Ahmed Ali, and Dr. Hiren Dand. Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 09 November 2024]; 10(6) : 158-164. Available from: https://ijariie.com/AdminUploadPdf/Detecting_Diabetes_Early_and_Classifying_Risk_with_Interpretable_Deep_Learning_Models_ijariie25269.pdf
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