An artificial intelligence approach for the recognition of early stages of eczema

D. Kalbande, Rohit Naik, J. Jatakia, U. Khopkar
{"title":"An artificial intelligence approach for the recognition of early stages of eczema","authors":"D. Kalbande, Rohit Naik, J. Jatakia, U. Khopkar","doi":"10.1504/IJMEI.2020.10019990","DOIUrl":null,"url":null,"abstract":"The rural population of India suffers from various medical ailments and due to the lack of medical facilities and practitioners, enough support is not available. Medical help might come late and the problem might have been aggravated. With the increasing awareness about artificial intelligence (AI), it is possible to solve these problems using technology. The research aims at detecting an early stage of the skin disease 'eczema', when the affected part of the human body is captured through a smart phone and approximate symptoms are provided by the medical practitioner. It uses artificial intelligence algorithms like convolutional neural networks and support vector machines algorithm for classifying the images, and back propagation algorithm for training a model based on the symptoms. Around 50 clinical photographs of eczema acquired from KEM Hospital, Mumbai to train the classifier and then different images of eczema were tested with an accuracy of greater than 85%.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Medical Eng. Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMEI.2020.10019990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The rural population of India suffers from various medical ailments and due to the lack of medical facilities and practitioners, enough support is not available. Medical help might come late and the problem might have been aggravated. With the increasing awareness about artificial intelligence (AI), it is possible to solve these problems using technology. The research aims at detecting an early stage of the skin disease 'eczema', when the affected part of the human body is captured through a smart phone and approximate symptoms are provided by the medical practitioner. It uses artificial intelligence algorithms like convolutional neural networks and support vector machines algorithm for classifying the images, and back propagation algorithm for training a model based on the symptoms. Around 50 clinical photographs of eczema acquired from KEM Hospital, Mumbai to train the classifier and then different images of eczema were tested with an accuracy of greater than 85%.
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
一种早期湿疹识别的人工智能方法
印度农村人口患有各种疾病,由于缺乏医疗设施和从业人员,无法获得足够的支持。医疗救助可能姗姗来迟,问题可能会进一步恶化。随着人们对人工智能(AI)的认识不断提高,利用技术解决这些问题是可能的。这项研究旨在检测皮肤病“湿疹”的早期阶段,当时通过智能手机捕捉到人体受影响的部位,并由医生提供大致的症状。它使用卷积神经网络和支持向量机算法等人工智能算法对图像进行分类,并使用反向传播算法根据症状训练模型。从孟买KEM医院获得的约50张湿疹临床照片用于训练分类器,然后对不同的湿疹图像进行测试,准确率超过85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Computational fluid dynamics analysis of carotid artery with different plaque shapes Pilot study of THz metamaterial-based biosensor for pharmacogenetic screening Access control to the electronic health records: a case study of an Algerian health organisation The impact of income level on childhood asthma in the USA: a secondary analysis study during 2011-2012 A low-complexity volumetric model with dynamic inter-connections to represent human liver in surgical simulators
×
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:604180095
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