Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices.

Saved in:
Bibliographic Details
Title: Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices.
Authors: Park HY; Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Park D; Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea., Kang HS; Department of Pulmonary, Allergy and Critical Care Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Kim H; Department of Otolaryngology-Head and Neck Surgery, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Lee S; Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. seunglee@postech.ac.kr.; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 223, 5th Engineering Building, 77 Cheongam-Ro, Nam-Gu, Pohang, 37673, Gyeongbuk, Republic of Korea. seunglee@postech.ac.kr., Im S; Department of Rehabilitation Medicine, Bucheon St. Mary's Hospital, College of Medicine, Catholic University of Korea, 327 Sosa-ro, Seoul, Bucheon-si, 14647, Gyeonggi-do, Republic of Korea. lafolia@catholic.ac.kr.
Source: Scientific reports [Sci Rep] 2022 Dec 16; Vol. 12 (1), pp. 21764. Date of Electronic Publication: 2022 Dec 16.
Publication Type: Published Erratum
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-022-26224-9