Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach.
Abul HasanMark LeveneDavid J WestonRenate FromsonNicolas KosloverTamara LevenePublished in: Journal of medical Internet research (2022)
Our preliminary results show that it is possible to automatically triage and diagnose patients for COVID-19 from social media natural language narratives, using a machine learning pipeline in order to provide information on the severity and prevalence of the disease for use within health surveillance systems.