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Zfania Tom Korach
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2020 – today
- 2021
- [j9]Zfania Tom Korach, Stephen C. Gradwohl
, Amanda I. Messinger
Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department. Int. J. Medical Informatics 149: 104410 (2021) - [j8]Kumiko O. Schnock, Min-Jeoung Kang, Sarah Collins Rossetti, Jose P. Garcia, Graham Lowenthal, Chris Knaplund, Frank Y. Chang, David J. Albers, Zfania Tom Korach, Li Zhou, Jeffrey G. Klann, Kenrick Cato
Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings. Int. J. Medical Informatics 153: 104525 (2021) - [j7]Sarah Collins Rossetti
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. J. Am. Medical Informatics Assoc. 28(6): 1242-1251 (2021) - 2020
- [j6]Min-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Kumiko O. Schnock, Jennifer Thate, Kimberly Whalen, Haomiao Jia, Jessica M. Schwartz, Jose P. Garcia, Christopher Knaplund, Kenrick D. Cato
Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology. Int. J. Medical Informatics 133 (2020) - [j5]Zfania Tom Korach, Jie Yang
Mining clinical phrases from nursing notes to discover risk factors of patient deterioration. Int. J. Medical Informatics 135: 104053 (2020) - [j4]Liqin Wang, Suzanne V. Blackley, Kimberly G. Blumenthal, Sharmitha Yerneni, Foster R. Goss, Ying-Chih Lo, Sonam N. Shah
A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. J. Am. Medical Informatics Assoc. 27(6): 917-923 (2020) - [c4]Zfania Tom Korach, Sharmitha Yerneni, Jonathan Einbinder, Carl Kallenberg, Li Zhou:
Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning. AMIA 2020
2010 – 2019
- 2019
- [j3]Zfania Tom Korach, Kenrick D. Cato
Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event. Appl. Clin. Inform. 10(05): 952-963 (2019) - [j2]Suzanne V. Blackley, Jessica Huynh, Liqin Wang, Zfania Tom Korach, Li Zhou:
Speech recognition for clinical documentation from 1990 to 2018: a systematic review. J. Am. Medical Informatics Assoc. 26(4): 324-338 (2019) - [c3]Liqin Wang, Suzanne V. Blackley, Carlos A. Ortega, Diane L. Seger, Zfania Tom Korach, Kenneth H. Lai, Foster R. Goss, Paige G. Wickner, Kimberly G. Blumenthal, Li Zhou:
Dynamic Reaction Picklists for Improving Allergy Reaction Documentation. AMIA 2019 - 2018
- [j1]Maxim Topaz
Medical Malpractice Trends: Errors in Automated Speech Recognition. J. Medical Syst. 42(8): 153:1-153:4 (2018) - [c2]Min-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Jennifer Thate, Kimberly Whalen, Kumiko O. Schnock, Christopher Knaplund, Brittany Couture, Kenrick Cato, Sarah A. Collins:
Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology. AMIA 2018 - [c1]Liqin Wang, DJoshua R. Lakin, Clay Riley, Zfania Tom Korach, Laura Frain, Li Zhou:
Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes. AMIA 2018
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