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

• DOI: 10.2196/49997
• Publication Date: 2024-03-01T08:22:57Z
• 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 Pavink...; 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-DerHag...; 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
• Keywords: Preprint; 2019-20 coronavirus outbreak

A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in natural language processing (NLP). While a multitude approaches NLP exist, current algorithm development have limitations that can slow the process. These are exacerbated when task emergent, as case currently for extraction signs and symptoms COVID-19 postacute sequelae SARS-CoV-2 infection (PASC).