南京大学学报(自然科学版) ›› 2012, Vol. 48 ›› Issue (2): 140146.
程波,张道强**
Cheng Bo,Zhaug Dao一Qiang
摘要: 老年痴呆症(Alzheimer’s disease, AD)的临床变量值和多模态特征都是对其内在致病病理的外在反映.木文提出一种多模态相关向量回归机,通过对多模态特征的学习来预测临床变量值.首先采
用核方法将多模态数据融合成一个混合核矩阵,然后使用相关向量回归机对临床变量简易精神状态检查(mini mental state examination, MMSE)和老年痴呆症评定量表(Alzheimer’ s disease assessment
scale, ADAS-Cog)建立回归模型,最后用相关系数和平方根均方误差来验证算法的性能.在标准数据集ADNI上的实验结果表明,木文提出的多模态方法的预测性能优于单模态方法.
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