Article(id=1242136265131369005, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136253227934232, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2017.16.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1497888000000, receivedDateStr=2017-06-20, revisedDate=1501603200000, revisedDateStr=2017-08-02, acceptedDate=null, acceptedDateStr=null, onlineDate=1503709804527, onlineDateStr=2017-08-26, pubDate=1503849600000, pubDateStr=2017-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1503709804527, onlineIssueDateStr=2017-08-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077963379, creator=sys-migrate, updateTime=1774077963379, updator=sys-migrate, issue=Issue{id=1242136253227934232, tenantId=1146029695717560320, journalId=1146031591421210625, year='2017', volume='35', issue='16', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1503849600000', pubDateStr='2017-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077960540, creator='sys-migrate', updateTime=1774077960540, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=20, endPage=25, ext={EN=ArticleExt(id=1242136268230963719, articleId=1242136265131369005, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Healthcare big data and the precise medication for rare diseases, columnId=1242135221613703813, journalTitle=Science & Technology Review, columnName=Special lssues, runingTitle=null, highlight=null, articleAbstract=The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition:to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air gesture recognition, some open questions and the development in the future., authors=WU Zhihui¹, WANG Fei¹, JIANG Zhaoyun¹, MIN Haowei¹, WANG Xinwei¹, GONG Mengchun², SHI Wenzhao¹, authorsList=WU Zhihui, WANG Fei, JIANG Zhaoyun, MIN Haowei, WANG Xinwei, GONG Mengchun, SHI Wenzhao, authorCompany=1. Digital China Health Technologies Corporation, Beijing 100080, China;
2. Central Laboratories, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=N3L7JHGtYXVXWwI9WucqOQ==, pdfFileSize=637146, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136267517932030, articleId=1242136265131369005, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=健康医疗大数据与罕见病的精准用药, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=药物治疗是罕见病的主要治疗方式，然而目前仅有1%的罕见病能够得到有效的药物治疗。不同来源的基因组、转录组等组学数据与临床表型数据融合起来形成的"健康医疗大数据"，可以通过集中小规模罕见病临床数据的方式有效弥补罕见病样本量少的不足。大数据信息可用于研究罕见病新的药物靶点、探索成熟药物在罕见病领域新用法、分析药物不良反应实现个体化用药，并可进一步通过大数据技术建立本地化罕见病知识库，从而实现罕见病的精准诊断和治疗。随着大数据研究的不断深入，仍然需要突破多组学融合及分析技术、基于真实世界的知识提取技术、基于组学的临床决策支持等技术壁垒才能使大数据在罕见病的诊疗中得到最大应用。, authors=武志慧¹, 王飞¹, 姜召芸¹, 闵浩巍¹, 王心慰¹, 弓孟春², 史文钊¹, authorsList=武志慧, 王飞, 姜召芸, 闵浩巍, 王心慰, 弓孟春, 史文钊, authorCompany=1. 神州数码医疗科技股份有限公司, 北京 100080;
2. 中国医学科学院北京协和医院中心实验室, 北京 100730, correspAuthors=null, authorNote=武志慧,硕士,研究方向为大数据,电子信箱:wuzhj@dchealth.com;王飞,博士,研究方向为大数据,电子信箱:wang-feiab@dchealth.com, correspAuthorsNote=史文钊,博士,研究方向为健康医疗大数据,电子信箱:shiwza@dchealth.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=UlY3WZ3TxG6UnmLbRrdM8A==, pdfFileSize=637146, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家高技术研究发展计划（863计划）项目（2015AA020106）；国家重点研发计划项目（2016YFC0901500）；上海市出生缺陷防治重点实验室开放课题（16DZKF1007）；国家卫生计生委2016年信息化与统计项目)}, authors=[Author(id=1278036810576085652, tenantId=1146029695717560320, journalId=null, articleId=1242136265131369005, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, 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