Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing.

Marta Fernandes Haoqi Sun Aayushee Jain Haitham S Alabsi Laura N Brenner Elissa Ye Wendong Ge Sarah I Collens Michael J Leone Sudeshna Das Gregory K Robbins Shibani S Mukerji Michael Brandon Westover

Published in: JMIR medical informatics (2021)

A supervised learning-based NLP approach is able to classify the discharge disposition of patients hospitalized with COVID-19. This approach has the potential to accelerate and increase the scale of research on patients' discharge disposition that is possible with EHR data.

Keyphrases

end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
sars cov
machine learning
electronic health record
risk assessment
patient reported
human health