Big Data for Health
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.
著者Andreu-Perez J., Poon C.C.Y., Merrifield R.D., Wong S.T.C., Yang G.-Z.
期刊名稱IEEE Journal of Biomedical and Health Informatics
詳細描述To ORKTS: additional keywords includes: medical imaging, medical informatics, precision medicine, sensor informatics, social health
出版年份2015
月份7
日期1
卷號19
期次4
出版社Institute of Electrical and Electronics Engineers Inc.
出版地United States
頁次1193 - 1208
國際標準期刊號2168-2194
電子國際標準期刊號2168-2208
語言英式英語
關鍵詞Big data, bioinformatics, health informatics, medical imaging, medical informatics, precision medicine, sensor informatics, social health

上次更新時間 2020-28-10 於 02:29