Author

Sarah F. Schmidt

University of Pennsylvania

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Arjun MaggeiD· 1 shared Davy WeissenbacheriD· 1 shared Graciela Gonzalez‐HernandeziD· 1 shared Ian M. CampbelliD· 1 shared Jessica R. C. PriestleyiD· 1 shared Karen O’ConnoriD· 1 shared Katherine M. SzigetyiD· 1 shared Mary J. Higgins· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Arjun MaggeORCID

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1 paper

Recent·Most cited

PhenoID, a language model normalizer of physical examinations from genetics clinical notes

Davy Weissenbacher, Siddharth Rawal, Xinwei Zhao, Jessica R. C. Priestley, Katherine M. Szigety, Sarah F. Schmidt, Mary J. Higgins, Arjun Magge, Karen O’Connor, Graciela Gonzalez‐Hernandez, Ian M. Campbell

PhenoID is a transformer-based NLP system that normalizes dysmorphology exam findings into HPO terms, achieving state-of-the-art performance on phenotype extraction from clinical notes.

medRxiv · Oct 16, 2023 · PreprintGenetic & Genomic Medicine