Mahdavi Mahmood A
Department of Chemical Engineering, Ferdowsi University of Mashhad, Azadi Square, Pardis Campus, Mashhad, 9177948944, Iran.
Int J Data Min Bioinform. 2010;4(2):158-74. doi: 10.1504/ijdmb.2010.032148.
Medical informatics has shifted its focus from acquisition and storage of healthcare data by integrating computational, informational, cognitive and organisational sciences to semantic analysis of the data for problem solving and clinical decision-making. In this transition, bioinformatics tools and resources are the most appropriate means to improve the analysis, as major biological databases are now containing clinical data alongside genomics, proteomics and other biological data. This paper briefly reviews bioinformatics tools and resources and then discusses their applications in analysing clinical data for diagnostics.
医学信息学已将重点从医疗数据的获取和存储转移到通过整合计算科学、信息科学、认知科学和组织科学来对数据进行语义分析,以解决问题和进行临床决策。在这一转变过程中,生物信息学工具和资源是改进分析的最合适手段,因为主要的生物数据库现在除了包含基因组学、蛋白质组学和其他生物数据外,还包含临床数据。本文简要回顾了生物信息学工具和资源,然后讨论了它们在分析临床数据以进行诊断方面的应用。