A Simplified yet Accurate Linear Equation of PPG Prediction Model for Type 2 Diabetes Patients (GH-Method: Math-Physical Medicine)

Ocimum Scientific Publishers Pty Ltd
{"title":"A Simplified yet Accurate Linear Equation of PPG Prediction Model for Type 2 Diabetes Patients (GH-Method: Math-Physical Medicine)","authors":"Ocimum Scientific Publishers Pty Ltd","doi":"10.33513/dwmj/2001-02","DOIUrl":null,"url":null,"abstract":"PPG contributes approximately 75% to 80% of HbA1C. Through the author’s diabetes research, he has identified at least 19 influential factors associated with PPG formation. He further utilized 8 influential factors and Artificial Intelligence (AI) optical physics technology to develop an AI-based Glucometer APP to predict PPG. Whether the involved factors are 8 or 19, it is a complicated task for patients to learn, understand, or use in terms of their diabetes control. Among those factors, as indicated in his previous publications, carbs/sugar intake amount contributes ~38% and exercise contributes ~41% of PPG. In summary, these two primary influential factors contribute ~80% of the PPG formation [1-4].","PeriodicalId":344474,"journal":{"name":"Diabetes and Weight Management Journal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes and Weight Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33513/dwmj/2001-02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

PPG contributes approximately 75% to 80% of HbA1C. Through the author’s diabetes research, he has identified at least 19 influential factors associated with PPG formation. He further utilized 8 influential factors and Artificial Intelligence (AI) optical physics technology to develop an AI-based Glucometer APP to predict PPG. Whether the involved factors are 8 or 19, it is a complicated task for patients to learn, understand, or use in terms of their diabetes control. Among those factors, as indicated in his previous publications, carbs/sugar intake amount contributes ~38% and exercise contributes ~41% of PPG. In summary, these two primary influential factors contribute ~80% of the PPG formation [1-4].
2型糖尿病患者PPG预测模型的简化而精确的线性方程(GH-Method:数学-物理医学)
PPG贡献了约75%至80%的HbA1C。通过作者的糖尿病研究,他已经确定了至少19个与PPG形成相关的影响因素。他进一步利用8个影响因素和人工智能(AI)光学物理技术,开发了一款基于人工智能的血糖仪APP来预测PPG。无论涉及的因素是8个还是19个,对于患者来说,学习、理解或使用糖尿病控制是一项复杂的任务。在这些因素中,他在之前的出版物中指出,碳水化合物/糖的摄入量对PPG的贡献为38%,运动对PPG的贡献为41%。综上所述,这两个主要影响因素贡献了约80%的PPG形成[1-4]。
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