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    9 repositories

    • Epione

      Public
      Epione microsimulation APP
      Python
      •
      GNU General Public License v2.0
      •0•0•0•0•Updated May 2, 2025May 2, 2025

    • trustworthy-ai

      Public
      A framework for developing trustworthy health AI with tutorial notebooks, including technical solutions for the different trustworthy AI requirements through the AI lifecycle
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •0•1•0•0•Updated Apr 30, 2025Apr 30, 2025

    • dashi

      Public
      A flexible and powerful Python toolkit for dataset shift analysis and characterization, providing supervised and unsupervised evaluation of temporal and multi-source data shifts, visualization tools, and statistical insights for data integrity and model performance monitoring
      pythondata-sciencedata-analysistemporal-analysisdataset-shift
      Python
      •
      Apache License 2.0
      •0•3•0•0•Updated Mar 10, 2025Mar 10, 2025

    • extremiss

      Public
      Numerical data imputation methods for extremely missing data contexts
      machine-learningclassificationimputationmissing-datadata-qualityimputation-methodsmissing-data-imputation
      Python
      •
      Apache License 2.0
      •0•3•0•0•Updated Feb 18, 2025Feb 18, 2025

    • DeepConText112

      Public
      Deep continual learning pipelines for out-of-hospital medical emergencies text classification under the presence of dataset shifts.
      Python
      •
      Apache License 2.0
      •0•2•0•0•Updated Feb 18, 2025Feb 18, 2025

    • dq_cancerless_analysis

      Public
      Code run to analyze the Data Quality (DQ) gathered within the CANCERLESS project
      Jupyter Notebook
      •0•0•0•0•Updated Oct 7, 2024Oct 7, 2024

    • ai_passport

      Public
      AI Passport proposal for MIE 2024
      Jupyter Notebook
      •0•0•0•0•Updated Mar 1, 2024Mar 1, 2024

    • covid19-metaclustering

      Public
      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.
      data-scienceclusteringdata-visualizationmexicocluster-analysisdata-qualityvariabilitycovid-19covid19
      HTML
      •
      Apache License 2.0
      •0•2•0•0•Updated Apr 10, 2022Apr 10, 2022

    • medical-imaging-datasets

      Public
      Medical imaging dataset
      0•1•0•0•Updated Nov 19, 2020Nov 19, 2020