Don't miss the NLP Summit 2022, free and online event in October 4-6. Register for freehere.
was successfully added to your cart.

Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data

We aim to characterize the evolution in the effectiveness of treatment for different patient groups over the course of the COVID-19 pandemic. In contrast to most existing studies, we study the evolution of patient
trajectories based on unique sets of frequent comorbid conditions discovered from the data. Further, we study the association between frequent co-morbid conditions to the length of stay (LOS) as a measure of
treatment efficacy, for poor COVID-19 related outcomes.

John Snow Labs Announces the Lineup of Keynote Speakers for the Second Annual Healthcare NLP Summit

The Free, Virtual Conference Brings Together Leaders in Technology and Healthcare to Share Knowledge, Best Practices, and Advances in Natural Language Processing...