Vern Eric Kerchberger
Orcid: 0000-0002-0342-1965
According to our database1,
Vern Eric Kerchberger
authored at least 8 papers
between 2019 and 2025.
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Bibliography
2025
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records.
J. Am. Medical Informatics Assoc., 2025
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