Biomedical Data Science Lab's repositories
covid19-metaclustering
To describe age-gender unbiased COVID-19 subphenotypes regarding severity patterns through a two-stage clustering approach using patient phenotypes and demographic features. Additional source and temporal variability assessments are included as part of data quality analyses.
DeepConText112
Deep continual learning pipelines for out-of-hospital medical emergencies text classification under the presence of dataset shifts.
medical-imaging-datasets
Medical imaging dataset
trustworthy-ai
A framework for developing trustworthy health AI with tutorial notebooks, including technical solutions for the different trustworthy AI requirements through the AI lifecycle
ai_passport
AI Passport proposal for MIE 2024