MRI-based intelligence quotient (IQ) estimation with sparse learning

• المؤلفون الرئيسيون: Wang L., Wee C.-Y., Suk H.-I., Tang X., Shen D.
• مؤلفون آخرون: BIOMEDICAL ENGINEERING
• التنسيق: مقال
• منشور في: 2019
• الموضوعات: adolescent; age; amygdaloid nucleus; analytic method; angular gyrus; anterior cingulate; Article; brain region; caudate nucleus; child; conceptual framework; controlled study; data analysis; dirty model method; elastic net method; feature selection method; female; group lasso method; hippocampus; human; image analysis; inferior frontal gyrus; inferior parietal lobule; intelligence quotient; intermethod comparison; lingual gyrus; male; multi kernel support vector regression; nuclear magnetic resonance imaging; paracentral lobule; parahippocampal gyrus; single kernel support vector regression; superior parietal lobule; support vector machine; temporal gyrus; thalamus; validation study; algorithm; clinical trial; image processing; intelligence; intelligence test; learning; multicenter study; procedures; reproducibility; theoretical model; Adolescent; Algorithms; Child; Female; Humans; Image Processing, Computer-Assisted; Intelligence; Intelligence Tests; Learning; Magnetic Resonance Imaging; Male; Models, Theoretical; Reproducibility of Results
• الوصول للمادة أونلاين: https://scholarbank.nus.edu.sg/handle/10635/161736

10.1371/journal.pone.0117295