Medical Diagnosis using Contrastive Learning
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Updated
Jul 7, 2024 - Python
Medical Diagnosis using Contrastive Learning
This project aims to predict the presence of heart disease based on various medical attributes of an individual. It utilizes a logistic regression model trained on a dataset containing information about patients and whether they have heart disease or not.
Machine Learning Model for predicting Heart Disease
A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.
"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
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