Chronic Kidney Disease Prediction and Recommendation of Suitable Diet Plan by using Machine Learning

Akash Maurya, Rahul Wable, Rasika Shinde, S. John, Rahul Jadhav, R. Dakshayani
{"title":"Chronic Kidney Disease Prediction and Recommendation of Suitable Diet Plan by using Machine Learning","authors":"Akash Maurya, Rahul Wable, Rasika Shinde, S. John, Rahul Jadhav, R. Dakshayani","doi":"10.1109/ICNTE44896.2019.8946029","DOIUrl":null,"url":null,"abstract":"Chronic kidney disease (CKD) is a type of kidney disease in which there is gradual loss of kidney function over a period of months or years. Prediction of this disease is one of the most important problems in medical fields. So automated tool which will use machine learning techniques to determine the patient's kidney condition that will be helpful to the doctors in prediction of chronic kidney disease and hence better treatment. The proposed system extracts the features which are responsible for CKD, then machine learning process can automate the classification of the chronic kidney disease in different stages according to its severity. The objective is to use machine learning algorithm and suggest suitable diet plan for CKD patient using classification algorithm on medical test records. Diet recommendation for patient will be given according to potassium zone which is calculated using blood potassium level to slow down the progression of CKD.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNTE44896.2019.8946029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

Abstract

Chronic kidney disease (CKD) is a type of kidney disease in which there is gradual loss of kidney function over a period of months or years. Prediction of this disease is one of the most important problems in medical fields. So automated tool which will use machine learning techniques to determine the patient's kidney condition that will be helpful to the doctors in prediction of chronic kidney disease and hence better treatment. The proposed system extracts the features which are responsible for CKD, then machine learning process can automate the classification of the chronic kidney disease in different stages according to its severity. The objective is to use machine learning algorithm and suggest suitable diet plan for CKD patient using classification algorithm on medical test records. Diet recommendation for patient will be given according to potassium zone which is calculated using blood potassium level to slow down the progression of CKD.
基于机器学习的慢性肾脏疾病预测及饮食计划推荐
慢性肾脏疾病(CKD)是一种肾脏疾病,在几个月或几年的时间里,肾脏功能逐渐丧失。该病的预测是目前医学领域的重要问题之一。因此,自动化工具将使用机器学习技术来确定患者的肾脏状况,这将有助于医生预测慢性肾脏疾病,从而更好地治疗。提出的系统提取CKD的特征,然后机器学习过程可以根据其严重程度自动对不同阶段的慢性肾脏疾病进行分类。目的是利用机器学习算法,利用医学检查记录的分类算法,为CKD患者推荐合适的饮食计划。根据血钾水平计算出的钾区为患者提供饮食建议,以减缓CKD的进展。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信