An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques.
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| Title: | An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques. |
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| Authors: | Hu, Ya-Han1,2 (AUTHOR), Hung, Jeng-Hsiu3,4 (AUTHOR), Hu, Li-Yu5,6 (AUTHOR), Huang, Sheng-Yun7 (AUTHOR), Shen, Cheng-Che5,7,8,9 (AUTHOR) pures1000@yahoo.com.tw |
| Source: | PLoS ONE. 6/7/2023, Vol. 18 Issue 6, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 164154062 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=164154062 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0286347 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu, Ya-Han – PersonEntity: Name: NameFull: Hung, Jeng-Hsiu – PersonEntity: Name: NameFull: Hu, Li-Yu – PersonEntity: Name: NameFull: Huang, Sheng-Yun – PersonEntity: Name: NameFull: Shen, Cheng-Che IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 06 Text: 6/7/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 18 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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