Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model.
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| Title: | Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model. |
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| Authors: | Adeoye EA; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA., Rozenfeld Y; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA. Yelena.Rozenfeld@providence.org., Beam J; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA., Boudreau K; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA., Cox EJ; Providence Medical Research Center, 105 W 8th Ave, Suite 250E, Spokane, WA, 99204, USA., Scanlan JM; Swedish Center for Research and Innovation, 800 Fifth Ave, 11th floor, Seattle, WA, USA. |
| Source: | Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Jul; Vol. 60 (7), pp. 2039-2049. Date of Electronic Publication: 2022 May 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35538201 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Adeoye+EA%22">Adeoye EA</searchLink>; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA.<br /><searchLink fieldCode="AU" term="%22Rozenfeld+Y%22">Rozenfeld Y</searchLink>; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA. Yelena.Rozenfeld@providence.org.<br /><searchLink fieldCode="AU" term="%22Beam+J%22">Beam J</searchLink>; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA.<br /><searchLink fieldCode="AU" term="%22Boudreau+K%22">Boudreau K</searchLink>; Providence St. Joseph Health, 1801 Lind Avenue S.W. Valley Office Park, Morin Bldg, 1st Floor, Renton, WA, 98057-9016, USA.<br /><searchLink fieldCode="AU" term="%22Cox+EJ%22">Cox EJ</searchLink>; Providence Medical Research Center, 105 W 8th Ave, Suite 250E, Spokane, WA, 99204, USA.<br /><searchLink fieldCode="AU" term="%22Scanlan+JM%22">Scanlan JM</searchLink>; Swedish Center for Research and Innovation, 800 Fifth Ave, 11th floor, Seattle, WA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2022 Jul; Vol. 60 (7), pp. 2039-2049. <i>Date of Electronic Publication: </i>2022 May 11. – 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>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35538201 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-022-02549-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2039 Titles: – TitleFull: Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adeoye EA – PersonEntity: Name: NameFull: Rozenfeld Y – PersonEntity: Name: NameFull: Beam J – PersonEntity: Name: NameFull: Boudreau K – PersonEntity: Name: NameFull: Cox EJ – PersonEntity: Name: NameFull: Scanlan JM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2022 Jul Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1741-0444 Numbering: – Type: volume Value: 60 – Type: issue Value: 7 Titles: – TitleFull: Medical & biological engineering & computing Type: main |
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