Sharon Jiang

According to our database, Sharon Jiang authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.

Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag

J. Am. Medical Informatics Assoc., 2024

2023

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes.

Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag

Proceedings of the Machine Learning for Healthcare Conference, 2023

2021

Measuring and mitigating PCR bias in microbiota datasets.

Justin D. Silverman, Rachael J. Bloom, Sharon Jiang, Heather K. Durand, Eric Dallow, Sayan Mukherjee, Lawrence A. David

PLoS Comput. Biol., 2021

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study.

Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021