Hauptseite > Publikationsdatenbank > The Confound Continuum: A 2D confounder assessment for AI in precision medicine > print

001     1006593
005     20230406201755.0
024 7 _ |a 2128/34262
|2 Handle
037 _ _ |a FZJ-2023-01734
041 _ _ |a English
100 1 _ |a Komeyer, Vera
|0 P:(DE-Juel1)187351
|b 0
111 2 _ |a General Assembly of the Joint Lab Supercomputing and Modeling for the Human Brain (SMHB)
|c Jülich
|d 2023-04-04 - 2023-04-05
|w Germany
245 _ _ |a The Confound Continuum: A 2D confounder assessment for AI in precision medicine
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
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336 7 _ |a Output Types/Conference Poster
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336 7 _ |a Poster
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|s 1680700729_24895
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|x After Call
500 _ _ |a This research was supported by the Joint Lab “Supercomputing and Modeling for the Human Brain”.
520 _ _ |a Confounding presents a major challenge in neuroimaging machine learning applications. Confounderscan influence both, brain-derived features and phenotypical targets1. Removing theirsignal from the data changes the feature-target relationship which ultimately affects the model interpretation.Additionally, confounders are not always straightforward to identify. To target this,we introduce the idea of a 2D Confound Continuum (CC). Its ordinate evaluates the strength ofthe statistical relationship between a confound and the feature(s)/target, thereby helping to betterunderstand its signal contributions to the data (statistical CC). Its abscissa defines the strength ofthe conceptual or biological relationship and hence the effects of removal on the model interpretation(conceptual CC). Sorting potential confounders within the CC can help to better understandtheir role and impact on building predictive models.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
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536 _ _ |a JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)
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|c JL SMHB-2021-2027
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700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 1
700 1 _ |a Grefkes, Christian
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Raimondo, Federico
|0 P:(DE-Juel1)185083
|b 3
700 1 _ |a Patil, Kaustubh
|0 P:(DE-Juel1)172843
|b 4
856 4 _ |u https://juser.fz-juelich.de/record/1006593/files/Komeyer_Poster%20SMHB.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1006593
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Department of Neurology,University Hospital Cologne and Medical Faculty, University of Cologne
|0 I:(DE-HGF)0
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
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914 1 _ |y 2023
915 _ _ |a OpenAccess
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980 _ _ |a poster
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