ML for stroke prediction, Intelligent Systems course (3rd year, 2nd semester)
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Updated
Apr 21, 2022 - Jupyter Notebook
ML for stroke prediction, Intelligent Systems course (3rd year, 2nd semester)
AI-driven heart disease prediction model using machine learning for early diagnosis.
AI-driven disease prediction model based on symptoms using machine learning.
Medical Diagnostic Module Programmed with Python and using Fuzzy Logic
Egészségügyi szűrőprogramok, orvosi tesztek eredményességének vizsgálata.
Breast cancer detection using Convolutional Neural Nets (CNNs)
Quick Android app for medical diagnosis, currently just using Endless Medical API
ML for early diagnosis of Alzheimer's disease. Results and jupyter notebook published on GitHub pages.
ML for MRI image classification, Intelligent Systems course (3rd year, 2nd semester)
Machine learning models for detection of diseases.
A medical diagnosis system
Medical Diagnosis system using Prolog
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
Sparrow AI - API for disease diagnostics
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.
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