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Biomedical Data Science Lab's Projects

covid19-metaclustering icon 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 icon deepcontext112

Deep continual learning pipelines for out-of-hospital medical emergencies text classification under the presence of dataset shifts.

extremiss icon extremiss

Numerical data imputation methods for extremely missing data contexts

trustworthy-ai icon 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

wakamola icon wakamola

Wakamola: a state-machine based Telegram chatbot for project CROWDHEALTH

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