Emerging Technologies and Intelligent Systems: Theory, Applications and Innovations
Explainable AI for Medical Diagnosis Web Application using Deep Learning and Machine Learning
Authors: Likhith K Poojary, Poormima B V and Mustafa Basthikodi
Publishing Date: 15-11-2026
ISBN: 978-81-975670-4-9
Abstract
Objective: The study involves the development of a web application which uses Artificial Intelligence to assist in disease prediction. The application will help doctors and patients to diagnose diseases such as Kidney Disease, Liver Disease, Heart Disease, Breast Cancer, Diabetes, Malaria, and Pneumonia. It uses a combination of machine learning and Artificial Intelligence techniques to provide results with explanations. Methods: The application contains models for every disease. It uses a technique called Random Forest to predict diseases like Diabetes, Heart Disease, Kidney Disease, Liver Disease, and Breast Cancer. This technique is useful to explain the contribution of each factor to the prediction. It works on a type of Artificial Intelligence that analyzes pictures to predict diseases such as Malaria and Pneumonia. This method highlights important areas of the image that are important for prediction. Results: The results demonstrate the capability of the application to predict diseases accurately and explain the predictions. These explanations help doctors and patients to understand the predictions and to make decisions. The app is supposed to be user friendly and output results. Novelty: The application is unique in that it brings disease prediction models into one platform. It uses a combination of techniques to give interpretable results. The app is meant to be useful for doctors and patients alike.
Keywords
Artificial Intelligence, Medical Diagnosis, Disease Prediction, Random Forest, Convolutional Neural Network, SHAP, Grad-CAM, Healthcare Analytics.
Cite as
Likhith K Poojary, Poormima B V and Mustafa Basthikodi, "Explainable AI for Medical Diagnosis Web Application using Deep Learning and Machine Learning", In: Harish Sharma and Mukesh Saraswat (eds), Emerging Technologies and Intelligent Systems: Theory, Applications and Innovations, SCRS, India, 2026, pp. 109-119. https://doi.org/10.56155/978-81-975670-4-9-6