Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.
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| Title: | Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. |
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| Authors: | Bergquist T; Sage Bionetworks, Seattle, WA, United States.; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States., Schaffter T; Sage Bionetworks, Seattle, WA, United States., Yan Y; Sage Bionetworks, Seattle, WA, United States.; Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, United States., Yu T; Sage Bionetworks, Seattle, WA, United States., Prosser J; Institute of Translational Health Sciences, University of Washington, Seattle, WA, United States., Gao J; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Chen G; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States., Charzewski Ł; Proacta, Warsaw, Poland.; Division of Biophysics, University of Warsaw, Warsaw, Poland., Nawalany Z; Proacta, Warsaw, Poland., Brugere I; Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States., Retkute R; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom., Prusokas A; Plant and Molecular Sciences, School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom., Prusokas A; Department of Life Sciences, Imperial College London, London, United Kingdom., Choi Y; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea., Lee S; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea., Choe J; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea., Lee I; Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea., Kim S; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea., Kang J; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.; Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea., Mooney SD; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States., Guinney J; Sage Bionetworks, Seattle, WA, United States.; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. |
| Corporate Authors: | Patient Mortality Prediction DREAM Challenge Consortium |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Dec 22; Vol. 31 (1), pp. 35-44. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37604111 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bergquist+T%22">Bergquist T</searchLink>; Sage Bionetworks, Seattle, WA, United States.; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Schaffter+T%22">Schaffter T</searchLink>; Sage Bionetworks, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Yan+Y%22">Yan Y</searchLink>; Sage Bionetworks, Seattle, WA, United States.; Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Yu+T%22">Yu T</searchLink>; Sage Bionetworks, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Prosser+J%22">Prosser J</searchLink>; Institute of Translational Health Sciences, University of Washington, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Gao+J%22">Gao J</searchLink>; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.<br /><searchLink fieldCode="AU" term="%22Chen+G%22">Chen G</searchLink>; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.<br /><searchLink fieldCode="AU" term="%22Charzewski+Ł%22">Charzewski Ł</searchLink>; Proacta, Warsaw, Poland.; Division of Biophysics, University of Warsaw, Warsaw, Poland.<br /><searchLink fieldCode="AU" term="%22Nawalany+Z%22">Nawalany Z</searchLink>; Proacta, Warsaw, Poland.<br /><searchLink fieldCode="AU" term="%22Brugere+I%22">Brugere I</searchLink>; Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States.<br /><searchLink fieldCode="AU" term="%22Retkute+R%22">Retkute R</searchLink>; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Prusokas+A%22">Prusokas A</searchLink>; Plant and Molecular Sciences, School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Prusokas+A%22">Prusokas A</searchLink>; Department of Life Sciences, Imperial College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Choi+Y%22">Choi Y</searchLink>; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choe+J%22">Choe J</searchLink>; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+I%22">Lee I</searchLink>; Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+J%22">Kang J</searchLink>; Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea.; Department of Interdisciplinary Program in Bioinformatics, College of Informatics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Mooney+SD%22">Mooney SD</searchLink>; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.<br /><searchLink fieldCode="AU" term="%22Guinney+J%22">Guinney J</searchLink>; Sage Bionetworks, Seattle, WA, United States.; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22Patient+Mortality+Prediction+DREAM+Challenge+Consortium%22">Patient Mortality Prediction DREAM Challenge Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2023 Dec 22; Vol. 31 (1), pp. 35-44. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37604111 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/jamia/ocad159 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 35 Titles: – TitleFull: Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bergquist T – PersonEntity: Name: NameFull: Schaffter T – PersonEntity: Name: NameFull: Yan Y – PersonEntity: Name: NameFull: Yu T – PersonEntity: Name: NameFull: Prosser J – PersonEntity: Name: NameFull: Gao J – PersonEntity: Name: NameFull: Chen G – PersonEntity: Name: NameFull: Charzewski Ł – PersonEntity: Name: NameFull: Nawalany Z – PersonEntity: Name: NameFull: Brugere I – PersonEntity: Name: NameFull: Retkute R – PersonEntity: Name: NameFull: Prusokas A – PersonEntity: Name: NameFull: Prusokas A – PersonEntity: Name: NameFull: Choi Y – PersonEntity: Name: NameFull: Lee S – PersonEntity: Name: NameFull: Choe J – PersonEntity: Name: NameFull: Lee I – PersonEntity: Name: NameFull: Kim S – PersonEntity: Name: NameFull: Kang J – PersonEntity: Name: NameFull: Mooney SD – PersonEntity: Name: NameFull: Guinney J IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 12 Text: 2023 Dec 22 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1527-974X Numbering: – Type: volume Value: 31 – Type: issue Value: 1 Titles: – TitleFull: Journal of the American Medical Informatics Association : JAMIA Type: main |
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