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

Wen, A., Wang, L., He, H., Fu, S., Liu, S., Hanauer, D. A., Harris, D. R., Kavuluru, R., Zhang, R., Natarajan, K., Pavinkurve, N. P., Hajagos, J., Rajupet, S., Lingam, V., Saltz, M., Elowsky, C., Moffitt, R. A., Koraishy, F. M., … Palchuk, M. B. (2024). 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. JMIR Medical Informatics, 12, e49997. https://doi.org/10.2196/49997
Authors:
Andrew Wen
Liwei Wang
Huan He
Sunyang Fu
Sijia Liu
David A Hanauer
Daniel R Harris
Ramakanth Kavuluru
Rui Zhang
Karthik Natarajan
Nishanth P Pavinkurve
Janos Hajagos
Sritha Rajupet
Veena Lingam
Mary Saltz
Corey Elowsky
Richard A Moffitt
Farrukh M Koraishy
Matvey B Palchuk
Jordan Donovan
Lora Lingrey
Garo Stone-DerHagopian
Robert T Miller
Andrew E Williams
Peter J Leese
Paul I Kovach
Emily R Pfaff
Mikhail Zemmel
Robert D Pates
Nick Guthe
Melissa A Haendel
Christopher G Chute
Hongfang Liu
Affiliated Authors:
Karthik Natarajan
Nishanth P Pavinkurve
Author Keywords:
natural language processing
clinical information extraction
clinical phenotyping
extract
extraction
nlp
phenotype
phenotyping
narratives
unstructured
pasc
covid
covid-19
sars-cov-2
ohnlp
open health natural language processing
Publication Type:
Article
Unique ID:
10.2196/49997
PMID:
Publication Date:
Data Source:
PubMed

Record Created: