Sharon Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Electronic Health Records

Observational Data

Causal Inference

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. MLHC (2023)
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. CoRR (2023)
Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn
State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study. AMIA (2021)
Justin D. Silverman, Rachael J. Bloom, Sharon Jiang, Heather K. Durand, Eric Dallow, Sayan Mukherjee, Lawrence A. David
Measuring and mitigating PCR bias in microbiota datasets. PLoS Comput. Biol. 17 (7) (2021)