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

Archana Yashodhar, Shashidhar Kini
{"title":"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","authors":"Archana Yashodhar, Shashidhar Kini","doi":"10.1109/DISCOVER52564.2021.9663705","DOIUrl":null,"url":null,"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.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance Measurements of different Classification techniques for the Alzheimer’s Disease Neuroimaging Initiative\",\"authors\":\"Archana Yashodhar, Shashidhar Kini\",\"doi\":\"10.1109/DISCOVER52564.2021.9663705\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":413789,\"journal\":{\"name\":\"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DISCOVER52564.2021.9663705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DISCOVER52564.2021.9663705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Performance Measurements of different Classification techniques for the Alzheimer’s Disease Neuroimaging Initiative
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Biosensors for the Detection of Toxic Contaminants from Water Reservoirs Essential for Potable and Agriculture Needs: A Review High Performance Variable Precision Multiplier and Accumulator Unit for Digital Filter Applications PCA and SVM Technique for Epileptic Seizure Classification Design and Analysis of Self-write-terminated Hybrid STT-MTJ/CMOS Logic Gates using LIM Architecture Joint Trajectory Tracking of Two- link Flexible Manipulator in Presence of Matched Uncertainty
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1