An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach.
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| Title: | An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach. |
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| Authors: | Liu CF; Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan., Hung CM; Department of General Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan.; College of Medicine, I-Shou University, Kaohsiung, Taiwan., Ko SC; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan., Cheng KC; Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan., Chao CM; Department of Intensive Care Medicine, Chi Mei Medical Center, Liouying, Taiwan.; Department of Dental Laboratory Technology, Min-Hwei College of Health Care Management, Liouying, Taiwan., Sung MI; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan., Hsing SC; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan., Wang JJ; Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.; Department of Anesthesiology, National Defense Medical Center, Taipei, Taiwan., Chen CJ; Department of Information Systems, Chi Mei Medical Center, Tainan, Taiwan., Lai CC; Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan., Chen CM; Department of Intensive Care Medicine, Chi Mei Medical Center, Tainan, Taiwan., Chiu CC; Department of General Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan.; School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan.; Department of Medical Education and Research, E-Da Cancer Hospital, Kaohsiung, Taiwan.; Department of General Surgery, Chi Mei Medical Center, Tainan, Taiwan. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2022 Nov 18; Vol. 9, pp. 935366. Date of Electronic Publication: 2022 Nov 18 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36465940 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liu+CF%22">Liu CF</searchLink>; Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hung+CM%22">Hung CM</searchLink>; Department of General Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan.; College of Medicine, I-Shou University, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ko+SC%22">Ko SC</searchLink>; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Cheng+KC%22">Cheng KC</searchLink>; Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+CM%22">Chao CM</searchLink>; Department of Intensive Care Medicine, Chi Mei Medical Center, Liouying, Taiwan.; Department of Dental Laboratory Technology, Min-Hwei College of Health Care Management, Liouying, Taiwan.<br /><searchLink fieldCode="AU" term="%22Sung+MI%22">Sung MI</searchLink>; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsing+SC%22">Hsing SC</searchLink>; Department of Respiratory Therapy, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+JJ%22">Wang JJ</searchLink>; Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.; Department of Anesthesiology, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+CJ%22">Chen CJ</searchLink>; Department of Information Systems, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lai+CC%22">Lai CC</searchLink>; Division of Hospital Medicine, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+CM%22">Chen CM</searchLink>; Department of Intensive Care Medicine, Chi Mei Medical Center, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chiu+CC%22">Chiu CC</searchLink>; Department of General Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan.; School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan.; Department of Medical Education and Research, E-Da Cancer Hospital, Kaohsiung, Taiwan.; Department of General Surgery, Chi Mei Medical Center, Tainan, Taiwan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2022 Nov 18; Vol. 9, pp. 935366. <i>Date of Electronic Publication: </i>2022 Nov 18 (<i>Print Publication: </i>2022). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36465940 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fmed.2022.935366 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 935366 Titles: – TitleFull: An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu CF – PersonEntity: Name: NameFull: Hung CM – PersonEntity: Name: NameFull: Ko SC – PersonEntity: Name: NameFull: Cheng KC – PersonEntity: Name: NameFull: Chao CM – PersonEntity: Name: NameFull: Sung MI – PersonEntity: Name: NameFull: Hsing SC – PersonEntity: Name: NameFull: Wang JJ – PersonEntity: Name: NameFull: Chen CJ – PersonEntity: Name: NameFull: Lai CC – PersonEntity: Name: NameFull: Chen CM – PersonEntity: Name: NameFull: Chiu CC IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 11 Text: 2022 Nov 18 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 2296-858X Numbering: – Type: volume Value: 9 Titles: – TitleFull: Frontiers in medicine Type: main |
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