大数据、决策模型与公共卫生。
Big Data, Decision Models, and Public Health.
机构信息
Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan.
Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan.
出版信息
Int J Environ Res Public Health. 2020 Sep 15;17(18):6723. doi: 10.3390/ijerph17186723.
Abstract
Unlike most daily decisions, medical decision making often has substantial consequences and trade-offs. Recently, big data analytics techniques such as statistical analysis, data mining, machine learning and deep learning can be applied to construct innovative decision models. With complex decision making, it can be difficult to comprehend and compare the benefits and risks of all available options to make a decision. For these reasons, this Special Issue focuses on the use of big data analytics and forms of public health decision making based on the decision model, spanning from theory to practice. A total of 64 submissions were carefully blind peer reviewed by at least two referees and, finally, 23 papers were selected for this Special Issue.
摘要
与大多数日常决策不同，医疗决策通常具有重大的后果和权衡。最近，大数据分析技术，如统计分析、数据挖掘、机器学习和深度学习，可用于构建创新的决策模型。在复杂的决策中，很难理解和比较所有可用选项的利弊，从而做出决策。基于这些原因，本特刊专注于使用大数据分析和基于决策模型的公共卫生决策形式，涵盖从理论到实践。共有 64 份投稿经过至少两位评审人的仔细盲审，最终有 23 篇论文被选为本特刊。
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