Investigating the Use of Support Vector Machine Classification on Structural Brain Images of Preterm–Born Teenagers as a Biological Marker

Open Access

Peer-reviewed

Research Article

Carlton Chu,

Affiliations DeepMind Technologies Ltd., London, United Kingdom, Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom
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Hugo Lagercrantz,

Affiliation Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
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Hans Forssberg,

Affiliation Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
⨯
Zoltan Nagy

* E-mail: zoltan.nagy@uz.ch

Affiliations Laboratory for Social and Neural Systems Research, University of Zurich, Zurich, Switzerland, Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom
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Magnetic resonance imaging
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Support vector machines
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Preterm birth
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Neuroimaging
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Body weight
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Central nervous system
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Imaging techniques
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