This paper is in the following e-collection/theme issue:
Natural Language Processing (971) Big Data (318) Advanced Data Analytics in eHealth (240) Secondary Use of Clinical Data for Research and Surveillance (500) Machine Learning (2261) Theme Issue: Medical Informatics and COVID-19 (126)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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