• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Next generation informatics for big data in precision medicine era.精准医学时代大数据的下一代信息学。
BioData Min. 2015 Nov 3;8:34. doi: 10.1186/s13040-015-0064-2. eCollection 2015.
2
Informatics for Precision Medicine and Healthcare.精准医学与医疗保健信息学
Adv Exp Med Biol. 2017;1005:1-20. doi: 10.1007/978-981-10-5717-5_1.
3
Introduction: the International Conference on Intelligent Biology and Medicine (ICIBM) 2016: special focus on medical informatics and big data.介绍:2016 年国际智能生物学与医学会议(ICIBM):特别关注医学信息学和大数据。
BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):77. doi: 10.1186/s12911-017-0462-0.
4
Big Data Analytics in Medicine and Healthcare.医学与医疗保健中的大数据分析
J Integr Bioinform. 2018 May 10;15(3):20170030. doi: 10.1515/jib-2017-0030.
5
A scoping review of 'big data', 'informatics', and 'bioinformatics' in the animal health and veterinary medical literature.动物健康与兽医学文献中“大数据”“信息学”及“生物信息学”的范围综述
Anim Health Res Rev. 2019 Jun;20(1):1-18. doi: 10.1017/S1466252319000136.
6
Big data for health.健康大数据。
IEEE J Biomed Health Inform. 2015 Jul;19(4):1193-208. doi: 10.1109/JBHI.2015.2450362. Epub 2015 Jul 10.
7
InCoB2014: mining biological data from genomics for transforming industry and health.InCoB2014:从基因组学中挖掘生物数据以推动产业与健康变革。
BMC Genomics. 2014;15 Suppl 9(Suppl 9):I1. doi: 10.1186/1471-2164-15-S9-I1. Epub 2014 Dec 8.
8
Big data: the next frontier for innovation in therapeutics and healthcare.大数据:治疗和医疗保健创新的下一个前沿领域。
Expert Rev Clin Pharmacol. 2014 May;7(3):293-8. doi: 10.1586/17512433.2014.905201. Epub 2014 Apr 7.
9
Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research.基因组学、分子成像、生物信息学以及生物纳米信息整合是转化医学和个性化医疗研究的协同组成部分。
BMC Genomics. 2008 Sep 16;9 Suppl 2(Suppl 2):I1. doi: 10.1186/1471-2164-9-S2-I1.
10
Next-Generation Sequencing: The Translational Medicine Approach from "Bench to Bedside to Population".下一代测序技术:从“实验室到床边再到人群”的转化医学方法
Medicines (Basel). 2016 Jun 2;3(2):14. doi: 10.3390/medicines3020014.

引用本文的文献

1
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes.基于机器学习的2型糖尿病亚型分类研究。
BioData Min. 2023 Aug 22;16(1):24. doi: 10.1186/s13040-023-00340-2.
2
Towards the Design of a Patient-Specific Virtual Tumour.迈向个性化虚拟肿瘤的设计
Comput Math Methods Med. 2016;2016:7851789. doi: 10.1155/2016/7851789. Epub 2016 Dec 19.
3
Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.精英足球中的大数据与战术分析:体育科学面临的未来挑战与机遇
Springerplus. 2016 Aug 24;5(1):1410. doi: 10.1186/s40064-016-3108-2. eCollection 2016.

本文引用的文献

1
Systems biology and p4 medicine: past, present, and future.系统生物学与精准医学:过去、现在与未来。
Rambam Maimonides Med J. 2013 Apr 30;4(2):e0012. doi: 10.5041/RMMJ.10112. Print 2013 Apr.
2
Pharmacogenomics knowledge for personalized medicine.药物基因组学知识与个性化医疗。
Clin Pharmacol Ther. 2012 Oct;92(4):414-7. doi: 10.1038/clpt.2012.96.
3
A side effect resource to capture phenotypic effects of drugs.一个用于捕捉药物表型效应的副作用资源。
Mol Syst Biol. 2010;6:343. doi: 10.1038/msb.2009.98. Epub 2010 Jan 19.

精准医学时代大数据的下一代信息学。

Next generation informatics for big data in precision medicine era.

作者信息

Zhang Yuji, Zhu Qian, Liu Hongfang

机构信息

Division of Biostatistics and Bioinformatics, University of Maryland Greenebaum Cancer Center, Baltimore, USA ; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA.

Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD USA.

出版信息

BioData Min. 2015 Nov 3;8:34. doi: 10.1186/s13040-015-0064-2. eCollection 2015.

DOI:10.1186/s13040-015-0064-2
PMID:26539249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4632361/
Abstract

The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of "big data" and develop knowledge systems to support precision medicine. To promote such data mining and informatics technology development in precision medicine, we hosted two international informatics workshops in 2014: 1) the first workshop on Data Mining in Biomedical informatics and Healthcare, in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), and 2) the first workshop on Translational biomedical and clinical informatics, in conjunction with the 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014). This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of "big data" generated by next generation biotechnologies such as next generation sequencing, metabolomics, and proteomics, as well as the structured and unstructured biomedical and healthcare data from electronic health records. We are grateful for the BioData Mining's willingness to produce this forward-looking thematic issue.

摘要

数据密集型生物学的兴起、信息技术的进步以及医疗保健服务方式的变化,为我们在“大数据”背景下研究生物医学问题并开发支持精准医学的知识系统创造了绝佳机遇。为推动精准医学中的此类数据挖掘和信息技术发展,我们在2014年举办了两次国际信息学研讨会:1)与第18届太平洋-亚洲知识发现与数据挖掘会议(PAKDD 2014)联合举办的第一届生物医学信息学与医疗保健数据挖掘研讨会;2)与第8届系统生物学国际会议和第4届转化生物信息学会议(ISB/TBC 2014)联合举办的第一届转化生物医学与临床信息学研讨会。《生物数据挖掘》的这一专题刊载了这两次国际研讨会的一系列精选论文,旨在满足信息学领域因下一代测序、代谢组学和蛋白质组学等下一代生物技术产生的海量“大数据”以及电子健康记录中的结构化和非结构化生物医学与医疗保健数据所引发的数据挖掘需求。我们感谢《生物数据挖掘》愿意出版这一具有前瞻性的专题。