Machine reading comprehension on clinical case reports

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.

HEAD-QA: A Healthcare Dataset for Complex Reasoning

中文医疗问诊大模型MedChatZH，具有中西医问诊、基本对话能力

Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm

Predicting multigraph brain population from a single graph

CLinical Information Retrieval Evaluation Collection

Fake-Heart-Sensor-Data-Using-Python-and-Kafka is a GitHub project that provides a simple and easy-to-use way to generate simulated heart sensor data using Python and Kafka. This project is ideal for developers who want to test their applications with realistic heart sensor data or simulate a data stream for research purposes.

Understanding Cellgen's dataset.

Building our own naïveBayes classifier to predict categories for future queries.

We use a tabular dataset which contains health information of patients to predict whether they suffer from a heart disease. Two notebooks are present currently in the repo, one focuses on data preprocessing, exploration and visualisation, while the other focuses on model creation, training and evaluation.

Logistic Regression Classification Model using socioeconomic and medical factors to categorize stroke status.

siim-medical-image-analysis-tutorial from Kaggle

Project on Bayesian Networks did during my master in AI