Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.
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| Title: | Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. |
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| Authors: | Eckert C; KenSci Inc., Seattle, Washington, United States., Nieves-Robbins N; Office of the U.S. Army Surgeon General, Defense Health Headquarters (Health Information Technology/CMIO Office), Falls Church, Virginia, United States., Spieker E; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States., Louwers T; KenSci Inc., Seattle, Washington, United States., Hazel D; KenSci Inc., Seattle, Washington, United States., Marquardt J; KenSci Inc., Seattle, Washington, United States., Solveson K; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States., Zahid A; KenSci Inc., Seattle, Washington, United States., Ahmad M; KenSci Inc., Seattle, Washington, United States., Barnhill R; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States., McKelvey TG; KenSci Inc., Seattle, Washington, United States., Marshall R; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States., Shry E; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States., Teredesai A; KenSci Inc., Seattle, Washington, United States. |
| Source: | Applied clinical informatics [Appl Clin Inform] 2019 Mar; Vol. 10 (2), pp. 316-325. Date of Electronic Publication: 2019 May 08. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Validation Study |
| Journal Info: | Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31067577 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Eckert+C%22">Eckert C</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Nieves-Robbins+N%22">Nieves-Robbins N</searchLink>; Office of the U.S. Army Surgeon General, Defense Health Headquarters (Health Information Technology/CMIO Office), Falls Church, Virginia, United States.<br /><searchLink fieldCode="AU" term="%22Spieker+E%22">Spieker E</searchLink>; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Louwers+T%22">Louwers T</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Hazel+D%22">Hazel D</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Marquardt+J%22">Marquardt J</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Solveson+K%22">Solveson K</searchLink>; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Zahid+A%22">Zahid A</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Ahmad+M%22">Ahmad M</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Barnhill+R%22">Barnhill R</searchLink>; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.<br /><searchLink fieldCode="AU" term="%22McKelvey+TG%22">McKelvey TG</searchLink>; KenSci Inc., Seattle, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Marshall+R%22">Marshall R</searchLink>; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Shry+E%22">Shry E</searchLink>; Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.<br /><searchLink fieldCode="AU" term="%22Teredesai+A%22">Teredesai A</searchLink>; KenSci Inc., Seattle, Washington, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101537732%22">Applied clinical informatics</searchLink> [Appl Clin Inform] 2019 Mar; Vol. 10 (2), pp. 316-325. <i>Date of Electronic Publication: </i>2019 May 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Thieme%22">Thieme </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101537732 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1869-0327 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218690327%22">18690327 </searchLink><i>NLM ISO Abbreviation: </i>Appl Clin Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31067577 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1055/s-0039-1688553 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 316 Titles: – TitleFull: Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eckert C – PersonEntity: Name: NameFull: Nieves-Robbins N – PersonEntity: Name: NameFull: Spieker E – PersonEntity: Name: NameFull: Louwers T – PersonEntity: Name: NameFull: Hazel D – PersonEntity: Name: NameFull: Marquardt J – PersonEntity: Name: NameFull: Solveson K – PersonEntity: Name: NameFull: Zahid A – PersonEntity: Name: NameFull: Ahmad M – PersonEntity: Name: NameFull: Barnhill R – PersonEntity: Name: NameFull: McKelvey TG – PersonEntity: Name: NameFull: Marshall R – PersonEntity: Name: NameFull: Shry E – PersonEntity: Name: NameFull: Teredesai A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2019 Mar Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1869-0327 Numbering: – Type: volume Value: 10 – Type: issue Value: 2 Titles: – TitleFull: Applied clinical informatics Type: main |
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