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Title: :  Machine Learning Based Early Stage Diabetes Detection System
PaperId: :  28363
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28363
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rohan MulikD Y Patil College of Engineering Akurdi
Vidit SinghD Y Patil College of Engineering Akurdi
Viraj PatelD Y Patil College of Engineering Akurdi
Pranav DongareD Y Patil College of Engineering Akurdi
Deepali GohilD Y Patil College of Engineering Akurdi
Radhika GoreD Y Patil College of Engineering Akurdi

Abstract

Computer Engineering
Machine Learning, Early Stage Diabetes Detection, Predictive Analytics, Health Informatics, Classification Algorithms, Explainable AI (XAI), Web Application, Medical Diagnosis, Preventive Healthcare
Early diabetes diagnosis stays hard because illnesses linked to daily habits grow common and classic tests reach clear limits. The Machine Learning-Based Early Stage Diabetes Detection System supplies a plain, smart guess of diabetes risk after it checks clinical plus lifestyle facts. The system splits into three modules - a front end that gathers data, a middle layer that runs prediction models and a back layer that keeps each record in a secure database. It trains supervised models - Random Forest, XGBoost besides Support Vector Machine - to tag each patient as diabetic or non-diabetic. To clarify the results, the model adds Explainable AI (XAI) tools like SHAP to highlight the features that shape each prediction. As a web-based platform, the system enables both patients and healthcare providers to conduct real-time risk evaluations, access analytical reports, and make well-informed decisions. By prioritizing accuracy, transparency, and user-friendliness, this study outlines the methodology, architecture, and proposed algorithms for creating an effective, interpretable, and accessible solution for early diabetes detection.

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IJARIIE Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. "Machine Learning Based Early Stage Diabetes Detection System" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 1739-1744
MLA Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. "Machine Learning Based Early Stage Diabetes Detection System." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 1739-1744.
APA Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, & Radhika Gore. (2026). Machine Learning Based Early Stage Diabetes Detection System. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 1739-1744.
Chicago Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. "Machine Learning Based Early Stage Diabetes Detection System." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 1739-1744.
Oxford Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. 'Machine Learning Based Early Stage Diabetes Detection System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 1739-1744. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Machine_Learning_Based_Early_Stage_Diabetes_Detection_System_ijariie28363.pdf (Accessed : ).
Harvard Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. (2026) 'Machine Learning Based Early Stage Diabetes Detection System', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 1739-1744IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Machine_Learning_Based_Early_Stage_Diabetes_Detection_System_ijariie28363.pdf (Accessed : )
IEEE Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore, "Machine Learning Based Early Stage Diabetes Detection System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 1739-1744, Mar-App 2026. [Online]. Available: http://ijariie.com/AdminUploadPdf/Machine_Learning_Based_Early_Stage_Diabetes_Detection_System_ijariie28363.pdf [Accessed : ].
Turabian Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. "Machine Learning Based Early Stage Diabetes Detection System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Rohan Mulik, Vidit Singh, Viraj Patel, Pranav Dongare, Deepali Gohil, and Radhika Gore. Machine Learning Based Early Stage Diabetes Detection System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 1739-1744. Available from: http://ijariie.com/AdminUploadPdf/Machine_Learning_Based_Early_Stage_Diabetes_Detection_System_ijariie28363.pdf
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