Alzheimer Disease Prediction using Machine Learning Algorithms

被引：0
|
作者：
Neelaveni, J. [1 ]
Devasana, M. S. Geetha [1 ]
机构：
[1] Sri Ramakrishna Engn Coll, Comp Sci & Engn Dept, Coimbatore 641022, Tamil Nadu, India
来源：
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年
关键词：
Aizheimer disease; mild cognitive impairment; machine learning algorithms; psychological parameters; DIAGNOSIS;
D O I：
10.1109/icaccs48705.2020.9074248
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Alzheimer disease is the one amongst neurodegenerative disorders. Though the symptoms are benign initially, they become more severe over time. Alzheimer's disease is a prevalent sort of dementia. This disease is challenging one because there is no treatment for the disease. Diagnosis of the disease is done but that too at the later stage only. Thus if the disease is predicted earlier, the progression or the symptoms of the disease can be slow down. This paper uses machine learning algorithms to predict the Alzheimer disease using psychological parameters like age, number of visit, MMSE and education.
引用
收藏
页码：101 / 104
页数：4
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