An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research
Abstract: We present an analysis tool for subgroup identification in medical research based on feature analysis. Our use case is intracranial aneurysms. In the tool, an aneurysm-of-interest’s most similar aneurysms within a database are found. Similarity is defined via user-selected parameters, which can be entirely arbitrary. Different interactive outputs and visualizations include a heatmap view and a graph, which give an intuitive feedback to support researchers in the consideration of research questions, which in the present use case often relate to rupture risk analysis. The tool was evaluated with a pilot study and phantom database and received favorable results for its requirements of reliability and appropriate and clear outputs.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research ; volume:7 ; number:1 ; year:2021 ; pages:43-46 ; extent:4
Current directions in biomedical engineering ; 7, Heft 1 (2021), 43-46 (gesamt 4)
- Urheber
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Spitz, Lena
Swiatek, Vanessa M.
Neyazi, Belal
Sandalcioglu, I. Erol
Preim, Bernhard
Saalfeld, Sylvia
- DOI
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10.1515/cdbme-2021-1010
- URN
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urn:nbn:de:101:1-2410141636347.083683154818
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Spitz, Lena
- Swiatek, Vanessa M.
- Neyazi, Belal
- Sandalcioglu, I. Erol
- Preim, Bernhard
- Saalfeld, Sylvia
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