Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 1, 2019

Abstract

OBJECTIVE: Identifying patients who meet selection criteria for clinical trials is typically challenging and time-consuming. In this article, we describe our clinical natural language processing (NLP) system to automatically assess patients' eligibility based on their longitudinal medical records. This work was part of the 2018 National NLP Clinical Challenges (n2c2) Shared-Task and Workshop on Cohort Selection for Clinical Trials.

Authors

  • Long Chen
    Department of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Yu Gu
    Microsoft Research, Redmond, WA, USA.
  • Xin Ji
    Beijing Shanggong Medical Technology Co., Ltd., China.
  • Chao Lou
    Med Data Quest, Inc, La Jolla, California, USA.
  • Zhiyong Sun
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA.
  • Haodan Li
    Med Data Quest, Inc, La Jolla, California, USA.
  • Yuan Gao
    Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang Province, China.
  • Yang Huang
    School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China.

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