Login / Signup

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.

Xiaoqian JiangLiwei WangHuan HeSunyang FuSijia LiuDavid A HanauerDaniel R HarrisRamakanth KavuluruRui ZhangKarthik NatarajanNishanth P PavinkurveJanos G HajagosSritha RajupetVeena LingamMary SaltzCorey ElowskyRichard A MoffittFarrukh M KoraishyMatvey B PalchukJordan DonovanLora LingreyGaro Stone-DerHagopianRobert T MillerAndrew E WilliamsPeter J LeesePaul I KovachEmily Rose PfaffMikhail ZemmelRobert D PatesNick GutheMelissa A HaendelChristopher G ChuteHongfang Liunull nullnull null
Published in: JMIR medical informatics (2024)
The evolutionary and time-critical nature of the PASC NLP task significantly complicates existing approaches to NLP algorithm development. In this work, we present a hybrid approach using the Open Health Natural Language Processing Toolkit aimed at addressing these needs with a dictionary-based weak labeling step that minimizes the need for additional expert annotation while still preserving the fine-tuning capabilities of expert involvement.
Keyphrases