Developing a portable natural language processing based phenotyping system.

Journal: BMC medical informatics and decision making
Published Date: Apr 4, 2019

Abstract

BACKGROUND: This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches.

Authors

  • Himanshu Sharma
    Cyberinfrastructure, University of Illinois at Chicago, Chicago, IL, 60612, USA.
  • Chengsheng Mao
    Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
  • Yizhen Zhang
    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
  • Haleh Vatani
    Cyberinfrastructure, University of Illinois at Chicago, Chicago, IL, 60612, USA.
  • Liang Yao
    Northwestern University, Chicago, IL.
  • Yizhen Zhong
    Northwestern University, Chicago, IL.
  • Luke Rasmussen
    Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
  • Guoqian Jiang
    Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Jyotishman Pathak
    Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
  • Yuan Luo
    Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.

Keywords

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