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Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph

Publication ,  Conference
Chen, IY; Agrawal, M; Horng, S; Sontag, D
Published in: Biocomputing 2020
December 2019

Duke Scholars

Published In

Biocomputing 2020

DOI

Publication Date

December 2019

Publisher

WORLD SCIENTIFIC

Conference Name

Pacific Symposium on Biocomputing 2020
 

Citation

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Chen, I. Y., Agrawal, M., Horng, S., & Sontag, D. (2019). Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. In Biocomputing 2020. WORLD SCIENTIFIC. https://doi.org/10.1142/9789811215636_0003
Chen, Irene Y., Monica Agrawal, Steven Horng, and David Sontag. “Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.” In Biocomputing 2020. WORLD SCIENTIFIC, 2019. https://doi.org/10.1142/9789811215636_0003.
Chen IY, Agrawal M, Horng S, Sontag D. Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. In: Biocomputing 2020. WORLD SCIENTIFIC; 2019.
Chen, Irene Y., et al. “Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.” Biocomputing 2020, WORLD SCIENTIFIC, 2019. Crossref, doi:10.1142/9789811215636_0003.
Chen IY, Agrawal M, Horng S, Sontag D. Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. Biocomputing 2020. WORLD SCIENTIFIC; 2019.

Published In

Biocomputing 2020

DOI

Publication Date

December 2019

Publisher

WORLD SCIENTIFIC

Conference Name

Pacific Symposium on Biocomputing 2020