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Title: :  MULTI-DISEASE DETECTION USING MACHINE LEARNING
PaperId: :  26400
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26400
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Namithadevi N NVidya vikas institute of engineering and technology, Karnataka, India
Chandan P KVidya vikas institute of engineering and technology, Karnataka, India
Shreyas MVidya vikas institute of engineering and technology, Karnataka, India
Tarun Ayappa K GVidya vikas institute of engineering and technology, Karnataka, India
Adarsh K SVidya vikas institute of engineering and technology, Karnataka, India

Abstract

Computer Engineering
Multi-Disease Detection, Machine Learning, Random Forest, CNN, Healthcare Prediction, Streamlit, AI Chatbot
The increasing demand for early disease diagnosis calls for innovative, accessible, and efficient healthcare solutions that can cater to a wide range of individuals, especially in areas with limited access to healthcare facilities. This paper presents a machine learning-based system designed to predict multiple diseases, including heart disease, kidney disease, thyroid disorders, Parkinson’s disease, diabetes, and brain tumors. For diseases such as heart disease, kidney disease, and diabetes, Random Forest classifiers are utilized, providing accurate, real-time predictions based on relevant health data. For brain tumor detection, a Convolutional Neural Network (CNN) is employed, taking MRI images as input and delivering highly accurate diagnoses. Additionally, the system incorporates a unique symptom-based disease detection feature, where users can select at least three symptoms from a predefined list. This allows the system to predict the most probable disease based on the selected symptoms and suggest appropriate medication and treatment options. A user-friendly, Streamlit-based web application serves as the interface, augmented with an AI-powered chatbot that provides real-time first aid guidance and personalized healthcare advice. This system improves prediction accuracy compared to existing methods, providing a transformative tool for preliminary healthcare screening and democratizing access to diagnostic technologies. By enabling early intervention, the system aims to empower users to take proactive steps in managing their health, especially in regions with limited access to healthcare services. This solution demonstrates a significant advancement in the use of machine learning and AI for healthcare, offering a cost-effective and scalable way to support early disease detection and healthcare accessibility.

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IJARIIE Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. "MULTI-DISEASE DETECTION USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 3128-3131
MLA Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. "MULTI-DISEASE DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 3128-3131.
APA Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, & Adarsh K S. (2025). MULTI-DISEASE DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 3128-3131.
Chicago Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. "MULTI-DISEASE DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 3128-3131.
Oxford Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. 'MULTI-DISEASE DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 3128-3131. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/MULTI_DISEASE_DETECTION_USING_MACHINE_LEARNING_ijariie26400.pdf (Accessed : ).
Harvard Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. (2025) 'MULTI-DISEASE DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 3128-3131IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/MULTI_DISEASE_DETECTION_USING_MACHINE_LEARNING_ijariie26400.pdf (Accessed : )
IEEE Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S, "MULTI-DISEASE DETECTION USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 3128-3131, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/MULTI_DISEASE_DETECTION_USING_MACHINE_LEARNING_ijariie26400.pdf [Accessed : ].
Turabian Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. "MULTI-DISEASE DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Namithadevi N N, Chandan P K, Shreyas M, Tarun Ayappa K G, and Adarsh K S. MULTI-DISEASE DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 3128-3131. Available from: https://ijariie.com/AdminUploadPdf/MULTI_DISEASE_DETECTION_USING_MACHINE_LEARNING_ijariie26400.pdf
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