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Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform.
Lee, Hee Young; Lee, Kang Hyun; Lee, Kyu Hee; Erdenbayar, Urtnasan; Hwang, Sangwon; Lee, Eun Young; Lee, Jung Hun; Kim, Hee Jin; Park, Sung Bin; Park, Joon Wook; Chung, Tae Yun; Kim, Tae Hyoung; Youk, Hyun.
Afiliação
  • Lee HY; Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Lee KH; Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Lee KH; Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Erdenbayar U; Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Hwang S; Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Lee EY; Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Lee JH; Artificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Kim HJ; Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Park SB; Department of Emergency Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
  • Park JW; Digital Healthcare Team, Corporate Support Division, Wonju Medical Industry Technovalley, Wonju, Republic of Korea.
  • Chung TY; Digital Healthcare Team, Corporate Support Division, Wonju Medical Industry Technovalley, Wonju, Republic of Korea.
  • Kim TH; Open Platform Team, Platform Research Department, Gangwon Research Institute of ICT Convergence, Wonju, Republic of Korea.
  • Youk H; Open Platform Team, Platform Research Department, Gangwon Research Institute of ICT Convergence, Wonju, Republic of Korea.
Digit Health ; 9: 20552076221149659, 2023.
Article em En | MEDLINE | ID: mdl-36644659

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article