disease-diagnosis

Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

The use of AI/ML to classify canine diseases based on chemical tests performed in the College of Vet. at the University of Saskatchewan.

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

Multiple Disease Diagnosis System using Medical Images

COVID-19 diagnosis using Chest X-Ray images with Transfer Learning

Research-backed multi-agent LLM framework for rare disease diagnosis using Autogen — published preprint on Research Square

Disease Prediction System is a Streamlit-based web app that predicts Diabetes, Heart Disease, and Fatty Liver using machine learning models, and provides personalized health guidance through a Gemini-powered AI assistant with a modern, interactive UI.

The project is focused on developing a cutting edge technology to assist hospitals in diagnosis of Pheneumonia patients, particularly children.

Medical Image Processing

AI & ML | A collection of Artificial Intelligence and Machine Learning projects built throughout my programming journey.

A Noise-Resilient Hybrid Imputation-Ensemble (NR-HIE) framework designed to bridge the generalizability gap in medical AI. Utilizing a triple-stream imputation strategy and stacked generalization, this model achieved 81.62% accuracy on external validation data, ensuring robust and medically safe diabetes prediction

Data Warehouse Project by Shoffiyah (140810160057) and Patricia (140810160065).

Knowledge engineering course exam project.

This real-time interface, developed with Streamlit, empowers medical practitioners and health professionals with a DSS that not only predicts anemia status but also explains the reasoning behind predictions using SHAP XAI visualizations.

This project implements a real-time mango tree disease detection and targeted irrigation system. The solution leverages image processing, machine learning, and hardware automation to detect diseases in mango leaves and provide precise irrigation to affected areas.

FastAPI/Streamlit application for Acute Febrile Illness (AFI) diagnosis using negative disease tests, symptoms, and biomarkers.

🌿 AI-powered medicinal herb identification and Ayurvedic doctor guidance web application built with Streamlit, ResNet50