Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images

Voxel‐based morphometry (VBM) studies have revealed gray matter alterations in smokers, but this type of analysis has poor predictive value for individual cases, which limits its applicability in clinical diagnoses and treatment. A predictive model would essentially embody a complex biomarker that c...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Human brain mapping 2015-12, Vol.36 (12), p.4869-4879
Hauptverfasser:	Ding, Xiaoyu, Yang, Yihong, Stein, Elliot A., Ross, Thomas J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cerebral Cortex - pathology Classification Female Gray Matter - pathology Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male multivariate classification Neural networks Neurosciences Psychiatric Status Rating Scales recursive feature elimination Regression Analysis Reproducibility of Results Smoking - pathology smoking addiction structural MRI Support Vector Machine voxel-based morphometry
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!