Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors.
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| Title: | Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. |
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| Authors: | Tabaie A; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America.; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America., Tran AK; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; MedStar Health Research Institute, MedStar Health, Washington, District of Columbia, United States of America.; MedStar Health Institute of Quality and Safety, MedStar Health, Columbia, Maryland, United States of America., Parau C; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Bennett SS; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Kazi S; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America., Smith K; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada.; Patient-Oriented Research, Michael Garron Hospital, Toronto, Ontario, Canada., Yosaitis J; School of Medicine, Georgetown University, Washington, District of Columbia, United States of America.; MedStar Simulation Training & Education Lab, MedStar Institute for Innovation, Washington, District of Columbia, United States of America., Miller KE; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America. |
| Source: | PloS one [PLoS One] 2026 Apr 10; Vol. 21 (4), pp. e0345693. Date of Electronic Publication: 2026 Apr 10 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41961785 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tabaie+A%22">Tabaie A</searchLink>; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America.; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Tran+AK%22">Tran AK</searchLink>; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; MedStar Health Research Institute, MedStar Health, Washington, District of Columbia, United States of America.; MedStar Health Institute of Quality and Safety, MedStar Health, Columbia, Maryland, United States of America.<br /><searchLink fieldCode="AU" term="%22Parau+C%22">Parau C</searchLink>; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Bennett+SS%22">Bennett SS</searchLink>; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Kazi+S%22">Kazi S</searchLink>; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Smith+K%22">Smith K</searchLink>; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada.; Patient-Oriented Research, Michael Garron Hospital, Toronto, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Yosaitis+J%22">Yosaitis J</searchLink>; School of Medicine, Georgetown University, Washington, District of Columbia, United States of America.; MedStar Simulation Training & Education Lab, MedStar Institute for Innovation, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Miller+KE%22">Miller KE</searchLink>; Department of Emergency Medicine, Georgetown University Medical Center, Washington, District of Columbia, United States of America.; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Apr 10; Vol. 21 (4), pp. e0345693. <i>Date of Electronic Publication: </i>2026 Apr 10 (<i>Print Publication: </i>2026). – 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="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41961785 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0345693 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0345693 Titles: – TitleFull: Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tabaie A – PersonEntity: Name: NameFull: Tran AK – PersonEntity: Name: NameFull: Parau C – PersonEntity: Name: NameFull: Bennett SS – PersonEntity: Name: NameFull: Kazi S – PersonEntity: Name: NameFull: Smith K – PersonEntity: Name: NameFull: Yosaitis J – PersonEntity: Name: NameFull: Miller KE IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 04 Text: 2026 Apr 10 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 21 – Type: issue Value: 4 Titles: – TitleFull: PloS one Type: main |
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