Your browser doesn't support javascript.
loading
Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time.
Hsu, Chin-Chuan; Kao, Yuan; Hsu, Chien-Chin; Chen, Chia-Jung; Hsu, Shu-Lien; Liu, Tzu-Lan; Lin, Hung-Jung; Wang, Jhi-Joung; Liu, Chung-Feng; Huang, Chien-Cheng.
Afiliação
  • Hsu CC; Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Kao Y; Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Hsu CC; Graduate Institute of Medical Sciences, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan.
  • Chen CJ; Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Hsu SL; School of Medicine, College of Medicine, National Sun Yat-sen university, Kaohsiung, Taiwan.
  • Liu TL; Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Lin HJ; Department of Nursing, Chi Mei Medical Center, Tainan, Taiwan.
  • Wang JJ; Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Liu CF; Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Huang CC; School of Medicine, College of Medicine, National Sun Yat-sen university, Kaohsiung, Taiwan.
BMC Endocr Disord ; 23(1): 234, 2023 Oct 24.
Article em En | MEDLINE | ID: mdl-37872536

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Choque Séptico / Sepse Limite: Humans Idioma: En Revista: BMC Endocr Disord Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Choque Séptico / Sepse Limite: Humans Idioma: En Revista: BMC Endocr Disord Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan