Vern Eric Kerchberger
Orcid: 0000-0002-0342-1965
According to our database1,
Vern Eric Kerchberger
authored at least 7 papers
between 2019 and 2024.
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Bibliography
2024
Large language models facilitate the generation of electronic health record phenotyping algorithms.
J. Am. Medical Informatics Assoc., 2024
2023
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository.
J. Am. Medical Informatics Assoc., June, 2023
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort.
J. Am. Medical Informatics Assoc., January, 2023
2021
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.
J. Biomed. Informatics, 2021
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
J. Am. Medical Informatics Assoc., 2020
2019
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
J. Biomed. Informatics, 2019