Katherine P. Liao
Orcid: 0000-0002-4797-3200
According to our database1,
Katherine P. Liao
authored at least 29 papers
between 2012 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
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning.
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
J. Mach. Learn. Res., 2023
2022
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.
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
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.
J. Am. Medical Informatics Assoc., 2021
2019
EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.
BMC Medical Informatics Decis. Mak., 2019
J. Biomed. Informatics, 2019
J. Biomed. Informatics, 2019
J. Am. Medical Informatics Assoc., 2019
2018
PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies.
J. Am. Medical Informatics Assoc., 2018
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018
2017
J. Am. Medical Informatics Assoc., 2017
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
2015
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.
J. Am. Medical Informatics Assoc., 2015
Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records.
Proceedings of the AMIA 2015, 2015
2014
Proceedings of the AMIA 2014, 2014
2012
Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
J. Am. Medical Informatics Assoc., 2012
Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network.
Proceedings of the AMIA 2012, 2012