Biomedical Informatics Studies for Knowledge Discovery in Precision Medicine
Zhang Zhiqiang1(), Fan Shaoping2, Chen Xiujuan1,3
1(Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China) 2(Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing 100020, China) 3(University of Chinese Academy of Sciences, Beijing 100049, China)
[Objective] This paper reviews the latest Biomedical Informatics studies and indicates some future directions for data-driven knowledge discovery in precision medicine. [Methods] We summarized the developments of data resources, data analysis platforms and methods, clinical decision-making applications in Biomedical Informatics through literature review and service trials. [Results] Future directions of Biomedical Informatics include building better big data management system, proposing theories and methods for big data analysis, developing new tools and platforms, clinical application of research findings, as well as training senior personnel. [Limitations] More biomedical data resources, methods, and case studies should be added. [Conclusions] This study identifies the future developments of Biomedical Informatics in precision medicine, which utilizes big data analytics to discover more knowledge.
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