AI-driven disease prediction model based on symptoms using machine learning.
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Updated
Jul 17, 2024 - Jupyter Notebook
AI-driven disease prediction model based on symptoms using machine learning.
AI-driven heart disease prediction model using machine learning for early diagnosis.
A medical diagnosis system
Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.
Sparrow AI - API for disease diagnostics
ML for MRI image classification, Intelligent Systems course (3rd year, 2nd semester)
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
ML for stroke prediction, Intelligent Systems course (3rd year, 2nd semester)
Medical Diagnostic Module Programmed with Python and using Fuzzy Logic
Egészségügyi szűrőprogramok, orvosi tesztek eredményességének vizsgálata.
Quick Android app for medical diagnosis, currently just using Endless Medical API
Medical Diagnosis system using Prolog
Breast cancer detection using Convolutional Neural Nets (CNNs)
ML for early diagnosis of Alzheimer's disease. Results and jupyter notebook published on GitHub pages.
Machine learning models for detection of diseases.
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