FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology.

Tudor GrozaDylan GrationGareth BaynamPeter Nick Robinson

Published in: Bioinformatics (Oxford, England) (2024)

FastHPOCR is available as a Python package installable via pip. The source code is available at https://github.com/tudorgroza/fast_hpo_cr. A Java implementation of FastHPOCR will be made available as part of the Fenominal Java library available at https://github.com/monarch-initiative/fenominal. The up-to-date GCS-2024 corpus is available at https://github.com/tudorgroza/code-for-papers/tree/main/gsc-2024.

Keyphrases

quality improvement
endothelial cells
primary care
healthcare
induced pluripotent stem cells
study protocol
high resolution
randomized controlled trial
pluripotent stem cells