View in EDS HTML Full Text PDF Full Text

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.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36526700
AccessLevel: 2
PubTypeId: unknown
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Park+HY%22">Park HY</searchLink>; Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+D%22">Park D</searchLink>; Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+HS%22">Kang HS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Im+S%22">Im S</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Dec 16; Vol. 12 (1), pp. 21764. <i>Date of Electronic Publication: </i>2022 Dec 16.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Published Erratum
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36526700
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-022-26224-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 21764
    Titles:
      – TitleFull: Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Park HY
      – PersonEntity:
          Name:
            NameFull: Park D
      – PersonEntity:
          Name:
            NameFull: Kang HS
      – PersonEntity:
          Name:
            NameFull: Kim H
      – PersonEntity:
          Name:
            NameFull: Lee S
      – PersonEntity:
          Name:
            NameFull: Im S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 16
              M: 12
              Text: 2022 Dec 16
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1