There are currently no neuroanatomical biomarkers of anorexia nervosa (AN) available to make clinical inferences at an individual subject level. We present results of a multivariate machine learning (ML) approach utilizing structural neuroanatomical scan data to differentiate AN patients from matched healthy controls at an individual subject level.
Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach
LAVAGNINO, Luca;AMIANTO, Federico;D'AGATA, Federico;SPALATRO, Angela Valentina;ABBATE DAGA, Giovanni;MORTARA, Paolo;FASSINO, Secondo;
2015-01-01
Abstract
There are currently no neuroanatomical biomarkers of anorexia nervosa (AN) available to make clinical inferences at an individual subject level. We present results of a multivariate machine learning (ML) approach utilizing structural neuroanatomical scan data to differentiate AN patients from matched healthy controls at an individual subject level.
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