Project

National COVID Cohort Collaborative (N3C)

Past

N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand our ability to analyze and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing

Aug 16, 2021

Related Publications

Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER Consortia

The Lancet Digital Health

Miles Crosskey, Tomas McIntee, Sandy Preiss, Daniel Brannock, Yun Jae Yoo, Emily Hadley, Frank Blancero, Rob Chew, Johanna Loomba, Abhishek Bhatia, Christopher G. Chute, Melissa Haendel, Richard Moffitt, Emily R. Pfaff, N3C Consortium, the RECOVER EHR Cohort

Background In 2021, we used the National COVID Cohort Collaborative (N3C) as part of the NIH RECOVER Initiative to develop a machine learning (ML) pipeline to identify patients …

Jan 2025 · PDF · Project

Identifying Who Has Long COVID in the USA: A Machine Learning Approach Using N3C Data

The Lancet Digital Health

Emily R. Pfaff, Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R. Deer, Jonathan P. Dekermanjian, Sarah Elizabeth Jolley, Michael G. Kahn, Kristin Kostka, Julie A. McMurry, Richard Moffitt, Anita Walden, Christopher G. Chute, Melissa A. Haendel, Carolyn Bramante, David Dorr, Michele Morris, Ann M. Parker, Hythem Sidky, Ken Gersing, Stephanie Hong, Emily Niehaus

Jan 2022 · PDF · Project

Regulatory Sandboxes: A Cure for mHealth Pilotitis?

Journal of Medical Internet Research

Abhishek Bhatia, Rahul Matthan, Tarun Khanna, Satchit Balsari

Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments …

Jan 2020 · PDF · Project