Performance Measurements of different Classification techniques for the Alzheimer’s Disease Neuroimaging Initiative

Archana Yashodhar, Shashidhar Kini
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引用次数: 1

Abstract

One of the neurogenerative disorders affected by many adults is Alzheimer’s Disease (AD). Disease prediction is also a difficult task. Except in the healthcare domain, the principles of artificial learning and data processing are commonly used. In this research paper, using the Machine Learning method, we applied various classification algorithms on the data sets and concluded which algorithms provide the best results. Also, we have used different possible methods to evaluate the model.
不同分类技术对阿尔茨海默病神经影像学倡议的性能测量
阿尔茨海默病(AD)是影响许多成年人的神经变性疾病之一。疾病预测也是一项艰巨的任务。除了在医疗保健领域,人工学习和数据处理的原则是常用的。在这篇研究论文中,我们使用机器学习的方法,对数据集应用了各种分类算法,并总结了哪些算法提供了最好的结果。此外,我们使用了不同可能的方法来评估模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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