A Protocol for Assessment of Interventions Using a Computational Phenotype for Long COVID

    March 2026 in “ medRxiv
    Amitabh Amitabh Gunjan, Lawrence Huang, Anudeep Appe, Paul A. McKelvey, Heather A. Algren, Mark Berry, Essy Mozaffari, Bill Wright, Jennifer Hadlock, Jason D. Goldman
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    Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

    Studysummary This study identified that manifestations of Long COVID can be detected through routine symptoms and diagnoses in electronic health records following COVID-19 admissions, as compared to non-COVID hospitalizations.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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