A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

Journal: Journal of neuroscience methods

Published Date: Jan 9, 2018

Abstract

BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in the management of AD patients.

Authors

C Salvatore

Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), via F.lli Cervi 93, 20090, Segrate, MI, Italy. Electronic address: christian.salvatore@ibfm.cnr.it.
I Castiglioni

Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), via F.lli Cervi 93, 20090, Segrate, MI, Italy. Electronic address: isabella.castiglioni@ibfm.cnr.it.

Keywords

Alzheimer Disease Brain Female Humans Image Interpretation, Computer-Assisted Machine Learning Magnetic Resonance Imaging Male Pattern Recognition, Automated Prognosis

External Resources

View on PubMed Access via DOI PubMed (29330017)

A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

Abstract

Authors

Keywords

External Resources

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