Pinned Repositories
ai_passport
AI Passport proposal for MIE 2024
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.
dq_cancerless_analysis
Code run to analyze the Data Quality (DQ) gathered within the CANCERLESS project
extremiss
Numerical data imputation methods for extremely missing data contexts
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
Biomedical Data Science Lab's Repositories
bdslab-upv/extremiss
Numerical data imputation methods for extremely missing data contexts
bdslab-upv/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.
bdslab-upv/DeepConText112
Deep continual learning pipelines for out-of-hospital medical emergencies text classification under the presence of dataset shifts.
bdslab-upv/medical-imaging-datasets
Medical imaging dataset
bdslab-upv/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
bdslab-upv/ai_passport
AI Passport proposal for MIE 2024
bdslab-upv/dq_cancerless_analysis
Code run to analyze the Data Quality (DQ) gathered within the CANCERLESS project