Discovering symptom patterns of COVID-19 patients using association rule mining.
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| Title: | Discovering symptom patterns of COVID-19 patients using association rule mining. |
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| Authors: | Tandan M; Cecil G Sheps Center for Health Service Research, University of North Carolina, Chapel Hill, USA. Electronic address: meerat@email.unc.edu., Acharya Y; Western Vascular Institute, Galway University Hospital, Galway, Ireland. Electronic address: dryogeshach@gmail.com., Pokharel S; The University of Queensland, St Lucia, Queensland, Australia. Electronic address: s.pokharel@uq.edu.au., Timilsina M; Data Science Institute, Insight Centre for Data Analytics, National University of Ireland Galway, Ireland. Electronic address: mohan.timilsina@insight-centre.org. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2021 Apr; Vol. 131, pp. 104249. Date of Electronic Publication: 2021 Feb 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 33561673 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discovering symptom patterns of COVID-19 patients using association rule mining. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tandan+M%22">Tandan M</searchLink>; Cecil G Sheps Center for Health Service Research, University of North Carolina, Chapel Hill, USA. Electronic address: meerat@email.unc.edu.<br /><searchLink fieldCode="AU" term="%22Acharya+Y%22">Acharya Y</searchLink>; Western Vascular Institute, Galway University Hospital, Galway, Ireland. Electronic address: dryogeshach@gmail.com.<br /><searchLink fieldCode="AU" term="%22Pokharel+S%22">Pokharel S</searchLink>; The University of Queensland, St Lucia, Queensland, Australia. Electronic address: s.pokharel@uq.edu.au.<br /><searchLink fieldCode="AU" term="%22Timilsina+M%22">Timilsina M</searchLink>; Data Science Institute, Insight Centre for Data Analytics, National University of Ireland Galway, Ireland. Electronic address: mohan.timilsina@insight-centre.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2021 Apr; Vol. 131, pp. 104249. <i>Date of Electronic Publication: </i>2021 Feb 01. – 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33561673 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compbiomed.2021.104249 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 104249 Titles: – TitleFull: Discovering symptom patterns of COVID-19 patients using association rule mining. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tandan M – PersonEntity: Name: NameFull: Acharya Y – PersonEntity: Name: NameFull: Pokharel S – PersonEntity: Name: NameFull: Timilsina M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2021 Apr Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1879-0534 Numbering: – Type: volume Value: 131 Titles: – TitleFull: Computers in biology and medicine Type: main |
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