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Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care

Published Online: 2025-04-30

Authors

Lee, Seika

Kisiel, Marta A.

Lindberg, Pia

Wheelock, Åsa M.

Olofsson, Anna

Eriksson, Julia

Bruchfeld, Judith

Runold, Michael

Wahlström, Lars

Malinovschi, Andrei

Janson, Christer

Wachtler, Caroline

Carlsson, Axel C.
Funding

Funding for this research was provided by:

Åke Wiberg Stiftelse

Uppsala University
License Information

Text and Data Mining valid from 2025-04-30

Version of Record valid from 2025-04-30
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Article History

Received: 24 October 2024

Accepted: 3 April 2025

First Online: 30 April 2025

Declarations

:

: The study has been approved by the Swedish Ethical Review Authority Dnr. 2021–01016 with amendments Dnr 2021–05735 - 02, Dnr 2022–04729 - 02, Dnr 2023–07166 - 02, and Dnr 2024–05462 - 02. All data were pseudonymized to protect patient privacy. The data used in the present study are available for research purposes after ethical approval from Stockholm Region at halsodata.rst@regionstockholm.se.Not applicable.

: Not applicable.

: The authors declare no competing interests.

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