健康应用的信息学和机器学习方法。
Informatics and machine learning methods for health applications.
机构信息
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, 19122, USA.
出版信息
BMC Med Inform Decis Mak. 2020 Dec 30;20(Suppl 11):342. doi: 10.1186/s12911-020-01344-2.
The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all aspects of intelligent computing, informatics and data science in biology and medicine. ICIBM 2020 was held as a virtual conference on August 9-10, 2020, including four live sessions with forty-one oral presentations over video conferencing. In this special issue, ten high-quality manuscripts were selected after peer-review from seventy-five submissions to represent the medical informatics and decision making aspect of the conference. In this editorial, we briefly summarize these ten selected manuscripts.
2020 年国际智能生物学与医学会议（ICIBM 2020）为计算科学家和实验生物学家提供了一个多学科论坛，以分享智能计算、信息学和数据科学在生物学和医学各个方面的最新进展。ICIBM 2020 于 2020 年 8 月 9 日至 10 日以虚拟会议的形式举行，包括四个实时会议，通过视频会议进行了四十一篇口头报告。在这个特刊中，经过同行评审，从七十五篇投稿中精选出十篇高质量的稿件来代表会议的医学信息学和决策制定方面。在这篇社论中，我们简要总结了这十篇精选的稿件。
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