no code implementations • 5 Nov 2023 • Callandra Moore, Jonathan Ranisau, Walter Nelson, Jeremy Petch, Alistair Johnson
Automated deidentification of clinical text data is crucial due to the high cost of manual deidentification, which has been a barrier to sharing clinical text and the advancement of clinical natural language processing.
no code implementations • 16 Feb 2023 • Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair Johnson, Emily Alsentzer
To investigate this question, we conduct an extensive empirical analysis of 12 language models, ranging from 220M to 175B parameters, measuring their performance on 3 different clinical tasks that test their ability to parse and reason over electronic health records.
no code implementations • 23 May 2017 • Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Real-time prediction of clinical interventions remains a challenge within intensive care units (ICUs).