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生物信息学与医学信息学:通往基因组医学之路的合作?

Bioinformatics and medical informatics: collaborations on the road to genomic medicine?

作者信息

Maojo Victor, Kulikowski Casimir A

机构信息

Medical Informatics Group, Artificial Intelligence Laboratory, Universidad Politécnica de Madrid, Spain.

出版信息

J Am Med Inform Assoc. 2003 Nov-Dec;10(6):515-22. doi: 10.1197/jamia.M1305. Epub 2003 Aug 4.

Abstract

In this report, the authors compare and contrast medical informatics (MI) and bioinformatics (BI) and provide a viewpoint on their complementarities and potential for collaboration in various subfields. The authors compare MI and BI along several dimensions, including: (1) historical development of the disciplines, (2) their scientific foundations, (3) data quality and analysis, (4) integration of knowledge and databases, (5) informatics tools to support practice, (6) informatics methods to support research (signal processing, imaging and vision, and computational modeling, (7) professional and patient continuing education, and (8) education and training. It is pointed out that, while the two disciplines differ in their histories, scientific foundations, and methodologic approaches to research in various areas, they nevertheless share methods and tools, which provides a basis for exchange of experience in their different applications. MI expertise in developing health care applications and the strength of BI in biological "discovery science" complement each other well. The new field of biomedical informatics (BMI) holds great promise for developing informatics methods that will be crucial in the development of genomic medicine. The future of BMI will be influenced strongly by whether significant advances in clinical practice and biomedical research come about from separate efforts in MI and BI, or from emerging, hybrid informatics subdisciplines at their interface.

摘要

在本报告中,作者对医学信息学(MI)和生物信息学(BI)进行了比较和对比,并就它们在各个子领域的互补性和合作潜力提出了一种观点。作者从几个维度对MI和BI进行了比较,包括:(1)学科的历史发展,(2)它们的科学基础,(3)数据质量与分析,(4)知识与数据库的整合,(5)支持实践的信息学工具,(6)支持研究的信息学方法(信号处理、成像与视觉以及计算建模),(7)专业人员和患者的继续教育,以及(8)教育与培训。指出虽然这两个学科在其历史、科学基础以及在各个领域的研究方法上存在差异,但它们仍然共享方法和工具,这为它们在不同应用中的经验交流提供了基础。MI在开发医疗保健应用方面的专业知识与BI在生物“发现科学”方面的优势相得益彰。生物医学信息学(BMI)这一新领域在开发对基因组医学发展至关重要的信息学方法方面有着巨大的前景。BMI的未来将在很大程度上受到临床实践和生物医学研究的重大进展是源于MI和BI的各自努力,还是源于它们交界处新兴的混合信息学子学科的影响。

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