"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"
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Updated
Jun 24, 2024 - Python
"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"
Medical Diagnosis using Contrastive Learning
A Vietnamese dataset of over 12 thousands questions about common disease symptoms. Perfect for researchers and developers building Vietnamese healthcare chatbots or disease prediction models.
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.
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.
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.
A Deep Learning Based approach for diagnosis of Schizophrenia using EEG brain recordings
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
In this repository, you'll find Prolog code covering a range of questions, all designed to aid your learning journey.
Bayesian Network aiming to help in endometriosis diagnosis.
Creating a Model that can diagnose pneumonia with an xray image
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.
Medical image analysis tool to identify various diseases from MRIs, CT scans, X-Rays and more
This repository contains a MATLAB project for malaria detection in microscopic images. It includes a MATLAB app and a standalone script that apply a malaria cell prediction algorithm. The project aims to assist in automating the detection of malaria cells, aiding in medical diagnosis and research.
SHEPHERD: Deep learning for diagnosing patients with rare genetic diseases
Code for my Master Thesis project on "Prompting Techniques for Natural Language Generation in the Medical Domain" at the University of Bologna
Implemented Several ML Techniques for Parkinson’s Detection with Speech Signals- Machine Learning Course Project
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
Myocardial Infraction Diagnosis using k-nearest neighbors algorithm (k-NN).
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