A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy.
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| Title: | A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy. |
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| Authors: | Heins, Jakob1,2, jakob.heins@uni-a.de, Schoenfelder, Jan2, jan.schoenfelder@uni-a.de, Heider, Steffen2,3, steffen.heider@uni-a.de, Heller, Axel R.1,4, axel.heller@uk-augsburg.de, Brunner, Jens O.2, jens.brunner@uni-a.de |
| Source: | INFORMS Journal on Applied Analytics; Nov/Dec2022, Vol. 52 Issue 6, p508-523, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 182962488 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Heins%2C+Jakob%22">Heins, Jakob</searchLink><relatesTo>1,2</relatesTo>, <i>jakob.heins@uni-a.de</i><br /><searchLink fieldCode="AU" term="%22Schoenfelder%2C+Jan%22">Schoenfelder, Jan</searchLink><relatesTo>2</relatesTo>, <i>jan.schoenfelder@uni-a.de</i><br /><searchLink fieldCode="AU" term="%22Heider%2C+Steffen%22">Heider, Steffen</searchLink><relatesTo>2,3</relatesTo>, <i>steffen.heider@uni-a.de</i><br /><searchLink fieldCode="AU" term="%22Heller%2C+Axel+R%2E%22">Heller, Axel R.</searchLink><relatesTo>1,4</relatesTo>, <i>axel.heller@uk-augsburg.de</i><br /><searchLink fieldCode="AU" term="%22Brunner%2C+Jens+O%2E%22">Brunner, Jens O.</searchLink><relatesTo>2</relatesTo>, <i>jens.brunner@uni-a.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22INFORMS+Journal+on+Applied+Analytics%22">INFORMS Journal on Applied Analytics</searchLink>; Nov/Dec2022, Vol. 52 Issue 6, p508-523, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182962488 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1287/inte.2021.1115 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 508 Titles: – TitleFull: A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Heins, Jakob – PersonEntity: Name: NameFull: Schoenfelder, Jan – PersonEntity: Name: NameFull: Heider, Steffen – PersonEntity: Name: NameFull: Heller, Axel R. – PersonEntity: Name: NameFull: Brunner, Jens O. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov/Dec2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 26440865 Numbering: – Type: volume Value: 52 – Type: issue Value: 6 Titles: – TitleFull: INFORMS Journal on Applied Analytics Type: main |
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