113 citations · 484 across the 22 of their papers we have counts for
5 papers · 1 filter
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
Saurav Sengupta, Johanna Loomba, Suchetha Sharma +5
Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive diagnosis for COVID-19.…
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…
Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies
Nicolas Matentzoglu, Damien Goutte-Gattat, Shawn Zheng Kai Tan +24
Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking, and dep…
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
Elena Casiraghi, Rachel Wong, Margaret Hall +34
Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful to assess associations between patients' predictors and outcomes of interest. However…
Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science
Deepak R. Unni, Sierra A. T. Moxon, Michael Bada +21
Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph-based data models elucidate the int…