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. 2023 Oct 27;6(4):ooad090. doi: 10.1093/jamiaopen/ooad090

RETRACTED AND REPLACED: Using machine learning to improve anaphylaxis case identification in medical claims data

Kamil Can Kural 1,2, Ilya Mazo 3, Mark Walderhaug 4, Luis Santana-Quintero 5, Konstantinos Karagiannis 6, Elaine E Thompson 7, Jeffrey A Kelman 8, Ravi Goud 9,
PMCID: PMC10611436  PMID: 37900974

This article has been retracted and replaced. Please see https://doi.org/10.1093/jamiaopen/ooae036 for details. The replacement article can be found at https://doi.org/10.1093/jamiaopen/ooae037.

Contributor Information

Kamil Can Kural, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States; School of Systems Biology, George Mason University, Manassas, VA 20110, United States.

Ilya Mazo, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.

Mark Walderhaug, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.

Luis Santana-Quintero, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.

Konstantinos Karagiannis, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.

Elaine E Thompson, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.

Jeffrey A Kelman, Centers for Medicare & Medicaid Services, Washington, DC 20001, United States.

Ravi Goud, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, United States.


Articles from JAMIA Open are provided here courtesy of Oxford University Press

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