Kelly Cho
Orcid: 0000-0003-1727-7076
According to our database1,
Kelly Cho
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Patterns, January, 2024
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.
J. Am. Medical Informatics Assoc., 2024
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population.
CoRR, 2024
VISION: Toward a Standardized Process for Radiology Image Management at the National Level.
CoRR, 2024
2023
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records.
J. Biomed. Informatics, August, 2023
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
J. Am. Medical Informatics Assoc., April, 2023
Bioinform., February, 2023
2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.
J. Biomed. Informatics, 2022
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
J. Biomed. Informatics, 2022
Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping.
Int. J. Medical Informatics, 2022
Proceedings of the AMIA 2022, 2022
2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
npj Digit. Medicine, 2021
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints.
J. Mach. Learn. Res., 2021
2019
J. Biomed. Informatics, 2019
J. Am. Medical Informatics Assoc., 2019
2018
Yield and bias in defining a cohort study baseline from electronic health record data.
J. Biomed. Informatics, 2018
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the AMIA 2017, 2017