Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals.
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| Title: | Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals. |
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| Authors: | Coppa K; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA., Kim EJ; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Oppenheim MI; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Bock KR; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Zanos TP; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Hirsch JS; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA. jhirsch8@northwell.edu.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. jhirsch8@northwell.edu.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA. jhirsch8@northwell.edu.; Division of Kidney Diseases and Hypertension, and Barbara Zucker School of Medicine at Hofstra/Northwell, 100 Community Drive, 2nd Floor, Great Neck, Donald, NY, 11021, USA. jhirsch8@northwell.edu. |
| Source: | Journal of general internal medicine [J Gen Intern Med] 2023 Aug; Vol. 38 (10), pp. 2298-2307. Date of Electronic Publication: 2023 Feb 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36757667 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Coppa+K%22">Coppa K</searchLink>; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.<br /><searchLink fieldCode="AU" term="%22Kim+EJ%22">Kim EJ</searchLink>; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.<br /><searchLink fieldCode="AU" term="%22Oppenheim+MI%22">Oppenheim MI</searchLink>; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.<br /><searchLink fieldCode="AU" term="%22Bock+KR%22">Bock KR</searchLink>; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.<br /><searchLink fieldCode="AU" term="%22Zanos+TP%22">Zanos TP</searchLink>; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.<br /><searchLink fieldCode="AU" term="%22Hirsch+JS%22">Hirsch JS</searchLink>; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, USA. jhirsch8@northwell.edu.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. jhirsch8@northwell.edu.; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA. jhirsch8@northwell.edu.; Division of Kidney Diseases and Hypertension, and Barbara Zucker School of Medicine at Hofstra/Northwell, 100 Community Drive, 2nd Floor, Great Neck, Donald, NY, 11021, USA. jhirsch8@northwell.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228605834%22">Journal of general internal medicine</searchLink> [J Gen Intern Med] 2023 Aug; Vol. 38 (10), pp. 2298-2307. <i>Date of Electronic Publication: </i>2023 Feb 09. – 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="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8605834 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1525-1497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208848734%22">08848734 </searchLink><i>NLM ISO Abbreviation: </i>J Gen Intern Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36757667 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11606-023-08065-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2298 Titles: – TitleFull: Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Coppa K – PersonEntity: Name: NameFull: Kim EJ – PersonEntity: Name: NameFull: Oppenheim MI – PersonEntity: Name: NameFull: Bock KR – PersonEntity: Name: NameFull: Zanos TP – PersonEntity: Name: NameFull: Hirsch JS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2023 Aug Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1525-1497 Numbering: – Type: volume Value: 38 – Type: issue Value: 10 Titles: – TitleFull: Journal of general internal medicine Type: main |
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