This paper is in the following e-collection/theme issue:
Natural Language Processing (696) Theme Issue: Medical Informatics and COVID-19 (107) Advanced Data Analytics in eHealth (139) Big Data (241) Machine Learning (1479) Secondary Use of Clinical Data for Research and Surveillance (371)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
Authors of this article:
Andrew Wen1, 2 ; Liwei Wang1, 2 ; Huan He1 ; Sunyang Fu1, 2 ; Sijia Liu1 ; David A Hanauer3 ; Daniel R Harris4 ; Ramakanth Kavuluru5 ; Rui Zhang6 ; Karthik Natarajan7 ; Nishanth P Pavinkurve7 ; Janos Hajagos8 ; Sritha Rajupet8 ; Veena Lingam8 ; Mary Saltz8 ; Corey Elowsky8 ; Richard A Moffitt8 ; Farrukh M Koraishy9 ; Matvey B Palchuk10 ; Jordan Donovan10 ; Lora Lingrey10 ; Garo Stone-DerHagopian10 ; Robert T Miller11 ; Andrew E Williams11, 12 ; Peter J Leese13 ; Paul I Kovach13 ; Emily R Pfaff13 ; Mikhail Zemmel14 ; Robert D Pates14 ; Nick Guthe15 ; Melissa A Haendel16 ; Christopher G Chute17 ; Hongfang Liu1, 2 ; National COVID Cohort Collaborative18 ; The RECOVER Initiative18
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