{"title":"Domain ontology development of knowledge base in cardiovascular personalized health management","authors":"Weiqiang Zhang, Yidan Xiang, Xiaohui Liu, Pengzhu Zhang","doi":"10.1080/23270012.2019.1694454","DOIUrl":null,"url":null,"abstract":"In China, cardiovascular disease has become the leading killer in recent years, and mortality from cardiovascular disease is continuing to rapidly increase. Extant medical research has proven that ...","PeriodicalId":46290,"journal":{"name":"Journal of Management Analytics","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23270012.2019.1694454","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Analytics","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/23270012.2019.1694454","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 14
Abstract
In China, cardiovascular disease has become the leading killer in recent years, and mortality from cardiovascular disease is continuing to rapidly increase. Extant medical research has proven that ...
期刊介绍：
The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
