Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice.
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| Title: | Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice. |
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| Authors: | Levivien C; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France., Cavagna P; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France., Grah A; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France., Buronfosse A; Medical Information Department, Paris Saint-Joseph Hospital Group, Paris, France., Courseau R; Orthopaedics Department, Paris Saint Joseph Hospital Group, Paris, France., Bézie Y; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France., Corny J; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France. jcorny@ghpsj.fr. |
| Source: | International journal of clinical pharmacy [Int J Clin Pharm] 2022 Apr; Vol. 44 (2), pp. 459-465. Date of Electronic Publication: 2022 Jan 03. |
| Publication Type: | Journal Article; Randomized Controlled Trial |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 101554912 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7711 (Electronic) NLM ISO Abbreviation: Int J Clin Pharm Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34978662 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Levivien+C%22">Levivien C</searchLink>; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France.<br /><searchLink fieldCode="AU" term="%22Cavagna+P%22">Cavagna P</searchLink>; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France.<br /><searchLink fieldCode="AU" term="%22Grah+A%22">Grah A</searchLink>; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France.<br /><searchLink fieldCode="AU" term="%22Buronfosse+A%22">Buronfosse A</searchLink>; Medical Information Department, Paris Saint-Joseph Hospital Group, Paris, France.<br /><searchLink fieldCode="AU" term="%22Courseau+R%22">Courseau R</searchLink>; Orthopaedics Department, Paris Saint Joseph Hospital Group, Paris, France.<br /><searchLink fieldCode="AU" term="%22Bézie+Y%22">Bézie Y</searchLink>; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France.<br /><searchLink fieldCode="AU" term="%22Corny+J%22">Corny J</searchLink>; Pharmacy Department, Paris Saint Joseph Hospital Group, 185 rue Raymond Losserand, 75014, Paris, France. jcorny@ghpsj.fr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101554912%22">International journal of clinical pharmacy</searchLink> [Int J Clin Pharm] 2022 Apr; Vol. 44 (2), pp. 459-465. <i>Date of Electronic Publication: </i>2022 Jan 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Randomized Controlled Trial – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101554912 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2210-7711 (Electronic) <i>NLM ISO Abbreviation: </i>Int J Clin Pharm <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34978662 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11096-021-01366-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 459 Titles: – TitleFull: Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Levivien C – PersonEntity: Name: NameFull: Cavagna P – PersonEntity: Name: NameFull: Grah A – PersonEntity: Name: NameFull: Buronfosse A – PersonEntity: Name: NameFull: Courseau R – PersonEntity: Name: NameFull: Bézie Y – PersonEntity: Name: NameFull: Corny J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2022 Apr Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2210-7711 Numbering: – Type: volume Value: 44 – Type: issue Value: 2 Titles: – TitleFull: International journal of clinical pharmacy Type: main |
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