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Paper Details

A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
PLOS Digit Health
3
2023
COVID, COVID-19, COVID-19 infection, PASC, SARS-CoV-2, dyspnea, fatigue, joint pain, patients
Author NameAffiliation
Arianna DagliatiUniversity of Pavia
Arianna DagliatiUniversity of Pavia
Jeffrey G KlannMassachusetts General Hospital
Jeffrey G KlannMassachusetts General Hospital
Kavishwar B WagholikarMassachusetts General Hospital
Kavishwar B WagholikarMassachusetts General Hospital
Shyam VisweswaranUniversity of Pittsburgh
Shyam VisweswaranUniversity of Pittsburgh
Michele MorrisUniversity of Pittsburgh
Michele MorrisUniversity of Pittsburgh
Gilbert S Omennand School of Public Health, University of Michigan ann arbor
Gilbert S Omennand School of Public Health, University of Michigan ann arbor
Zongqi XiaUniversity of Pittsburgh
Zongqi XiaUniversity of Pittsburgh
John H Holmesand Informatics Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine
John H Holmesand Informatics Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine
Hossein EstiriMassachusetts General Hospital
Shawn N MurphyMassachusetts General Hospital
Shawn N MurphyMassachusetts General Hospital
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Datasets

Release 1.2