Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches.
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| Title: | Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches. |
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| Authors: | Frey N; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Meyer-Eschenbach F; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany., Voge L; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Ruhm L; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany., Wagnitz J; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Näher AF; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Grünewald E; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Nothacker J; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany., von Kalle C; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany., Kumpf O; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany., Balzer F; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 989-993. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42175001 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Frey+N%22">Frey N</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Meyer-Eschenbach+F%22">Meyer-Eschenbach F</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Voge+L%22">Voge L</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Ruhm+L%22">Ruhm L</searchLink>; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Wagnitz+J%22">Wagnitz J</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Näher+AF%22">Näher AF</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Grünewald+E%22">Grünewald E</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Nothacker+J%22">Nothacker J</searchLink>; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22von+Kalle+C%22">von Kalle C</searchLink>; Clinical Study Center, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Kumpf+O%22">Kumpf O</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Balzer+F%22">Balzer F</searchLink>; Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 989-993. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42175001 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI260327 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 989 Titles: – TitleFull: Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Frey N – PersonEntity: Name: NameFull: Meyer-Eschenbach F – PersonEntity: Name: NameFull: Voge L – PersonEntity: Name: NameFull: Ruhm L – PersonEntity: Name: NameFull: Wagnitz J – PersonEntity: Name: NameFull: Näher AF – PersonEntity: Name: NameFull: Grünewald E – PersonEntity: Name: NameFull: Nothacker J – PersonEntity: Name: NameFull: von Kalle C – PersonEntity: Name: NameFull: Kumpf O – PersonEntity: Name: NameFull: Balzer F IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: 2026 May 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 336 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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