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基于机器学习的阿尔兹海默症初期行为辨识方法.pdf

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基于机器学习的阿尔兹海默症初期行为辨识方法.pdf

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基于机器学习的阿尔兹海默症初期行为辨识方法.pdf

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文档介绍:生 物 医 学 工 程 研 究
2021,40(2):121 ~125
Journal of Biomedical Engineerthe features of sMRI data,and the kernel support vector machine based data classifica-
tion algorithm was used to classify the extracted sMRI data characteristics,after ten fold cross validation evaluation,the early behavior
of Alzheimer's disease could be accurately experimental results showed that the sensitivity,specificity,accuracy and ar-
ea under the curve of the four indicators of this method were the highest,and had a better effect on early behavior recognition of Alzhei-
mer's mathod can not only effectively identify patients and normal people,but also correctly distinguish Alzheimer's dis-
ease and mild cognitive impairment patients,and the recognition effect is significant.
Key words:Machine learning;Alzheimer's disease;Incipient behavior;Recognition research;sMRI image;Kernel support vec-
tor machine
海默症的几率日益上升[1]。阿尔兹海默症病情复
1 引 言
杂多样,其不仅给患者和家人的正常生活带来重大
随着人口老龄化进程的加快,老年人患阿尔兹 危害,还对医疗机构以及国家造成沉重负担。目前,
DOI / -
*湖北省自然科学基金资助项目(ZRMS2020001438);武汉大学中南医院科技创新培育基金资助项目(znpy2018108)。
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