Informatics and machine learning methods for health applications

被引：0
|
作者：
Li Shen
Xinghua Shi
Zhongming Zhao
Kai Wang
机构：
[1] University of Pennsylvania,Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine
[2] Temple University,Department of Computer and Information Sciences, College of Science and Technology
[3] The University of Texas Health Science Center at Houston,Center for Precision Health, School of Biomedical Informatics
[4] Childrens Hospital of Philadelphia,Raymond G. Perelman Center for Cellular and Molecular Therapeutics
来源：
BMC Medical Informatics and Decision Making | / 20卷
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摘要：
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.
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