Grace Y. E. Kim

According to our database, Grace Y. E. Kim authored at least 4 papers between 2021 and 2025.

Collaborative distances:

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

2025

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction.

April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher D. Sharp, Stephen P. Ma, Jonathan H. Chen

CoRR, December, 2025

Real time machine learning prediction of next generation sequencing test results in live clinical settings.

Grace Y. E. Kim, Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri, William Shomali, Jean Oak, Dita Gratzinger, Henning Stehr, Jonathan H. Chen

npj Digit. Medicine, 2025

Monitoring strategies for continuous evaluation of deployed clinical prediction models.

Grace Y. E. Kim, Conor K. Corbin, François Grolleau, Michael T. M. Baiocchi, Jonathan H. Chen

J. Biomed. Informatics, 2025

2021

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.

Grace Y. E. Kim, Morteza Noshad, Henning Stehr, Rebecca Rojansky, Dita Gratzinger, Jean Oak, Rondeep Brar, David Iberri, Christina Kong, James L. Zehnder, Jonathan H. Chen

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