This paper is in the following e-collection/theme issue:

Natural Language Processing (868) Theme Issue: Medical Informatics and COVID-19 (122) Advanced Data Analytics in eHealth (193) Big Data (304) Machine Learning (1962) Secondary Use of Clinical Data for Research and Surveillance (451)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49997, first published .
A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

Authors of this article:

Andrew Wen1, 2 Author Orcid Image ;   Liwei Wang1, 2 Author Orcid Image ;   Huan He1 Author Orcid Image ;   Sunyang Fu1, 2 Author Orcid Image ;   Sijia Liu1 Author Orcid Image ;   David A Hanauer3 Author Orcid Image ;   Daniel R Harris4 Author Orcid Image ;   Ramakanth Kavuluru5 Author Orcid Image ;   Rui Zhang6 Author Orcid Image ;   Karthik Natarajan7 Author Orcid Image ;   Nishanth P Pavinkurve7 Author Orcid Image ;   Janos Hajagos8 Author Orcid Image ;   Sritha Rajupet8 Author Orcid Image ;   Veena Lingam8 Author Orcid Image ;   Mary Saltz8 Author Orcid Image ;   Corey Elowsky8 Author Orcid Image ;   Richard A Moffitt8 Author Orcid Image ;   Farrukh M Koraishy9 Author Orcid Image ;   Matvey B Palchuk10 Author Orcid Image ;   Jordan Donovan10 Author Orcid Image ;   Lora Lingrey10 Author Orcid Image ;   Garo Stone-DerHagopian10 Author Orcid Image ;   Robert T Miller11 Author Orcid Image ;   Andrew E Williams11, 12 Author Orcid Image ;   Peter J Leese13 Author Orcid Image ;   Paul I Kovach13 Author Orcid Image ;   Emily R Pfaff13 Author Orcid Image ;   Mikhail Zemmel14 Author Orcid Image ;   Robert D Pates14 Author Orcid Image ;   Nick Guthe15 Author Orcid Image ;   Melissa A Haendel16 Author Orcid Image ;   Christopher G Chute17 Author Orcid Image ;   Hongfang Liu1, 2 Author Orcid Image ;   National COVID Cohort Collaborative18 ;   The RECOVER Initiative18
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Journals

  1. Wang L, Wen A, Fu S, Ruan X, Huang M, Li R, Lu Q, Lyu H, Williams A, Liu H. A scoping review of OMOP CDM adoption for cancer research using real world data. npj Digital Medicine 2025;8(1) View
  2. Benrubi L, Sato T, Westgard L, Zollo-Venecek K, Socrates B, Sweigart B, Ridgway J, Suzuki J, Morales Y, Goodman-Meza D, Wurcel A. Sensitivity and Specificity of Natural Language Processing Systems for Identification of Hospitalized People Who Use Drugs. Open Forum Infectious Diseases 2025;12(7) View
  3. Bai Z, Xu Z, Sun C, Zang C, Bunnell H, Sinfield C, Rutter J, Martinez A, Bailey L, Weiner M, Campion T, Carton T, Forrest C, Kaushal R, Wang F, Peng Y. Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processing. npj Health Systems 2025;2(1) View