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Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices (Scientific Reports, (2022), 12, 1, (16682), 10.1038/s41598-022-20348-8)

  • Catholic Univ. of Korea Coll. Med.
  • Pohang University of Science and Technology
  • Catholic University of Korea

Research output: Contribution to journalComment/debate

1 Scopus citations

Abstract

The original version of this Article contained an error in the Author Information section. “These authors contributed equally: Hae-Yeon Park, DoGyeom Park, Seungchul Lee and Sun Im.” now reads: “These authors contributed equally: Hae-Yeon Park and DoGyeom Park. These authors jointly supervised this work: Seungchul Lee and Sun Im.” In addition, the Article contained an error in the Funding section. “This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (no. 2020R1F1A106581412), the by the Po-Ca Networking Groups funded by The Postech-Catholic Biomedical Engineering Institute (No. 5-2020-B0001-00050) and by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020R1A6A1A03047902).” now reads: “This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (no. 2020R1F1A106581413), by the Po-Ca Networking Groups funded by The Postech-Catholic Biomedical Engineering Institute (No. 5-2020-B0001-00050) and by the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020R1A6A1A03047902).” The original Article and accompanying Supplementary Information file have been corrected.

Original languageEnglish
Article number21764
JournalScientific Reports
Volume12
Issue number1
DOIs
StatePublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

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