Melissa A. Basford

Orcid: 0000-0002-0703-2422

According to our database1, Melissa A. Basford authored at least 15 papers between 2010 and 2023.

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Bibliography

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

Managing re-identification risks while providing access to the <i>All of Us</i> research program.
J. Am. Medical Informatics Assoc., April, 2023

2022
The <i>All of Us</i> Research Program: Data quality, utility, and diversity.
Patterns, 2022

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging, 2022

2020
The All of Us Research Program Researcher Workbench: Cloud based access and analytics to advance precision medicine.
Proceedings of the AMIA 2020, 2020

The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations.
Proceedings of the AMIA 2020, 2020

2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.
J. Am. Medical Informatics Assoc., 2016

2014
Secondary use of clinical data: The Vanderbilt approach.
J. Biomed. Informatics, 2014

Brief communication: The Mid-South Clinical Data Research Network.
J. Am. Medical Informatics Assoc., 2014

Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2012
PheKB.org: An Online Collaboration Tool for Phenotype Algorithm Research.
Proceedings of the AMIA 2012, 2012

2011
Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.
J. Am. Medical Informatics Assoc., 2011

Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.
J. Am. Medical Informatics Assoc., 2011

2010
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.
J. Biomed. Informatics, 2010

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.
Bioinform., 2010


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