Disease prediction model for secure patient data over cloud using machine learning

Dinesh Goyal, Ruchi Goyal, S. Bhargava, Priyanka Sharma
{"title":"Disease prediction model for secure patient data over cloud using machine learning","authors":"Dinesh Goyal, Ruchi Goyal, S. Bhargava, Priyanka Sharma","doi":"10.1080/09720529.2022.2072438","DOIUrl":null,"url":null,"abstract":"Abstract Patient data at hospitals is non-sharable in current systems and cost of repeated medication is curse to the patients. Also medical treatment perspective changes at every hospital or doctor or diagnostic center. To resolve the issue of availability of medicinal past history of the patients & reduction in cost of treatment with decisive & secure availability of patient records, like prescriptions and lab reports, we implemented an ERP system over cloud in five hospitals. Based on data retrieved from the hospitals of registration (only to ensure privacy of patients) we implement data analytics using machine learning for the prediction of the disease of patients by tracking the record of medical history and also analyzed hospital and doctors information and performance. Our aim is to provide solution for less cost treatment and for regulation and monitoring of health care to Indian Medical Industry.","PeriodicalId":46563,"journal":{"name":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09720529.2022.2072438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Patient data at hospitals is non-sharable in current systems and cost of repeated medication is curse to the patients. Also medical treatment perspective changes at every hospital or doctor or diagnostic center. To resolve the issue of availability of medicinal past history of the patients & reduction in cost of treatment with decisive & secure availability of patient records, like prescriptions and lab reports, we implemented an ERP system over cloud in five hospitals. Based on data retrieved from the hospitals of registration (only to ensure privacy of patients) we implement data analytics using machine learning for the prediction of the disease of patients by tracking the record of medical history and also analyzed hospital and doctors information and performance. Our aim is to provide solution for less cost treatment and for regulation and monitoring of health care to Indian Medical Industry.
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
使用机器学习的云上安全患者数据的疾病预测模型
摘要在当前的系统中,医院的患者数据是不可共享的,重复用药的成本对患者来说是个诅咒。此外,每个医院、医生或诊断中心的医疗观点都会发生变化。为了解决患者既往病史的可用性问题,以及通过决定性和安全的患者记录(如处方和实验室报告)来降低治疗成本,我们在五家医院实施了云ERP系统。基于从注册医院检索的数据(仅为了确保患者的隐私),我们使用机器学习实现数据分析,通过跟踪病史记录来预测患者的疾病,并分析医院和医生的信息和表现。我们的目标是为印度医疗行业提供低成本治疗以及医疗保健监管和监测的解决方案。
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
CiteScore
3.10
自引率
21.40%
发文量
126
期刊最新文献
A4-graph for the twisted group 3D4 (3) Modern Metrics (MM): Software size estimation using function points for artificial intelligence and data analytics applications and finding the effort modifiers of the functional units using indian software industry Optimized deep learning methodology for intruder behavior detection and classification in cloud I-prime fuzzy submodules Information security based on sub-system keys generator by utilizing polynomials method and logic gate
×
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