A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
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Updated
Nov 28, 2022 - Jupyter Notebook
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
A list of Open-Access-Medical-Data(OAMD) commonly used in medical research
Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018
I list all the medical data sets I find in my researches.
Medical /Clinical /Healthcare datasets
Open source dataset for Endoscopic Images
New Feature Selection Process to Enhance Naïve Bayes Classification project concentrates on improving the classification accuracy of cancer cells using gene microarray as features for various cancer data sets using Machine learning classifiers , along with point wise mutual information (PMIGS) as feature selection technique.
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