Article(id=1321170017354363713, tenantId=1146029695717560320, journalId=1319373219989389464, issueId=1321169992024961657, articleNumber=null, orderNo=null, doi=10.11847/zgggws1145238, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1718726400000, receivedDateStr=2024-06-19, revisedDate=1733414400000, revisedDateStr=2024-12-06, acceptedDate=1741881600000, acceptedDateStr=2025-03-14, onlineDate=1792921078289, onlineDateStr=2026-10-25, pubDate=1744214400000, pubDateStr=2025-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792921078289, onlineIssueDateStr=2026-10-25, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792921078289, creator=13701087609, updateTime=1792921078289, updator=13701087609, issue=Issue{id=1321169992024961657, tenantId=1146029695717560320, journalId=1319373219989389464, year='2025', volume='41', issue='4', pageStart='385', pageEnd='512', issueExtLink='null', onlineDate='null', pubDate='1744214400000', pubDateStr='2025-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792921072250, creator='13701087609', updateTime=1792921072250, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=391, endPage=394, ext={EN=ArticleExt(id=1321170017559884610, articleId=1321170017354363713, tenantId=1146029695717560320, journalId=1319373219989389464, language=EN, title=Design and implementation of a tumor risk factor surveillance data management platform based on big data, columnId=1321169992624747130, journalTitle=Chinese Journal of Public Health, columnName=Special Report – Public Health Informatization Development and Artificial Intelligence, runingTitle=null, highlight=null, articleAbstract=

To enhance the integration, sharing, and utilization of full-chain tumor risk factor data, this study employed big data technologies to integrate and analyze multi-source heterogeneous tumor risk factor surveillance data. Guided by the standardized datasets for tumor risk factor surveillance, a six-tiered multi- departmental resource-sharing tumor risk factor surveillance data management platform was constructed, encompassing data production, data exchange, data computation, data application, user access, and data supervision layers. This platform provides functionalities for data sharing, comprehensive querying, and visualized analysis of tumor risk factor surveillance data. Consequently, it enables a better understanding of the prevalence and trends of tumor incidence, morbidity, mortality, and associated risk factors among residents. This facilitates cross-departmental collaboration in tumor risk factor surveillance, providing scientific evidence and robust data support for national tumor prevention and control strategy formulation and related health policy evaluation.

, authors=Wei WANG, Hui GE, Yu CAO, Ming WAN, Xuemei SU, authorsList=Wei WANG, Hui GE, Yu CAO, Ming WAN, Xuemei SU, authorCompany=null, correspAuthors=Xuemei SU, authorNote=null, correspAuthorsNote=, copyrightStatement=Copyright © 2025 Chinese Journal of Public Health. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, 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=1321170018260333383, articleId=1321170017354363713, tenantId=1146029695717560320, journalId=1319373219989389464, language=CN, title=基于大数据的肿瘤危险因素监测数据管理平台设计与实现, columnId=1321169994361188988, journalTitle=中国公共卫生, columnName=专题报道——公共卫生信息化建设与人工智能, runingTitle=null, highlight=null, articleAbstract=

为提升全链条肿瘤危险因素数据整合与共享利用效能，本研究利用大数据相关技术开展多源异构肿瘤危险因素监测数据整合与分析，在肿瘤危险因素监测业务的标准数据集指导下，构建形成包含数据生产层、数据交换层、数据计算层、数据应用层、用户访问层和数据监管层等6层架构的多部门资源共享肿瘤危险因素监测数据管理平台，同时提供肿瘤危险因素监测数据共享、综合查询、可视化分析等功能，从而可以较好地掌握居民肿瘤发病、患病、死亡及其危险因素的流行现状和变化趋势，使肿瘤危险因素监测业务跨部门协作成为可能，为国家制定肿瘤防控策略及相关卫生政策评估提供科学依据和有力数据支撑。

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王崴（1987—），助理研究员，硕士，研究方向：医学信息资源管理与利用

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王崴（1987—），助理研究员，硕士，研究方向：医学信息资源管理与利用

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