An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research
2021 ◽
Vol 7
(1)
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pp. 43-46
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Use Case
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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.
2015 ◽
Vol 77
(01)
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pp. 025-030
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2013 ◽
Keyword(s):
2021 ◽
2019 ◽
Vol 7
(6)
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pp. 373-379
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2015 ◽
Vol 4
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pp. 115
Keyword(s):