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An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach.
Liu, Chung-Feng; Hung, Chao-Ming; Ko, Shian-Chin; Cheng, Kuo-Chen; Chao, Chien-Ming; Sung, Mei-I; Hsing, Shu-Chen; Wang, Jhi-Joung; Chen, Chia-Jung; Lai, Chih-Cheng; Chen, Chin-Ming; Chiu, Chong-Chi.
Afiliación
  • Liu CF; Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.
  • Hung CM; Department of General Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan.
  • Ko SC; College of Medicine, I-Shou University, Kaohsiung, Taiwan.
  • Cheng KC; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.
  • Chao CM; Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.
  • Sung MI; Department of Intensive Care Medicine, Chi Mei Medical Center, Liouying, Taiwan.
  • Hsing SC; Department of Dental Laboratory Technology, Min-Hwei College of Health Care Management, Liouying, Taiwan.
  • Wang JJ; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.
  • Chen CJ; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.
  • Lai CC; Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
  • Chen CM; Department of Anesthesiology, National Defense Medical Center, Taipei, Taiwan.
  • Chiu CC; Department of Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
Front Med (Lausanne) ; 9: 935366, 2022.
Article en En | MEDLINE | ID: mdl-36465940

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán