Julie A. McMurry

University of North Carolina at Chapel Hill — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

44h-index10.7kcitations175works2.32yr avg
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Research Topics

Biomedical Text Mining and Ontologies(47), Long-Term Effects of COVID-19(29), COVID-19 Clinical Research Studies(26), Genomics and Rare Diseases(26), Bioinformatics and Genomic Networks(21)

Publications170 total

Development of self-phenotyping tools to empower patients and improve diagnostics
EBioMedicine·2025Open Access
Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics
Biological Psychiatry·2025· 3 citedOpen Access
Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study
JMIR Medical Informatics·2025· 2 citedOpen Access
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
UNC Libraries·2025Open Access
Characterizing Long COVID: Deep Phenotype of a Complex Condition
UNC Libraries·2025Open Access
Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative
UNC Libraries·2025Open Access
Identifying who has long COVID in the USA: a machine learning approach using N3C data
UNC Libraries·2025· 1 citedOpen Access
NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study
UNC Libraries·2025Open Access
Coding long COVID: characterizing a new disease through an ICD-10 lens
UNC Libraries·2025Open Access
The Unified Phenotype Ontology : a framework for cross-species integrative phenomics
Genetics·2025· 7 citedOpen Access
Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs
UNC Libraries·2024Open Access
Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study (Preprint)
2024
Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs
npj Digital Medicine·2024· 6 citedOpen Access
Tree-based classification model for Long-COVID infection prediction with age stratification using data from the National COVID Cohort Collaborative
JAMIA Open·2024Open Access
The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics
2024· 3 citedOpen Access
Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study
Open Forum Infectious Diseases·2024· 7 citedOpen Access
Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools
2024· 9 citedOpen Access
Development of self-phenotyping tools to empower patients and improve diagnostics
2024Open Access
Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative
UNC Libraries·2024Open Access
The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset
AIDS and Behavior·2024· 3 citedOpen Access
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Frequent Co-authors

Melissa Haendel(35), Christopher G. Chute(20), Peter N. Robinson(20), Chris Mungall(15), Richard A. Moffitt(15), Emily Pfaff(14), Sebastian Köhler(13), Nicole Vasilevsky(13), Anne S. De Groot(13), Damian Smedley(12), Julius O.B. Jacobsen(12), Tellen D. Bennett(12), Tudor Groza(11), Michael Gargano(9), William Martin(9), Andrew T. Girvin(9), Leigh Carmody(8), Gareth Baynam(8), Nomi L. Harris(8), Nicolas Matentzoglu(7)