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Open AccessEditorial

Big Data, Decision Models, and Public Health

1
Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan
2
Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan
3
School of Medical Informatics, Chung Shan Medical University & IT Office, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(18), 6723; https://doi.org/10.3390/ijerph17186723
Received: 8 September 2020 / Accepted: 14 September 2020 / Published: 15 September 2020
(This article belongs to the Special Issue Big Data, Decision Models, and Public Health)
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. View Full-Text
Keywords: big data; decision models; public health big data; decision models; public health
MDPI and ACS Style

Chan, C.-L.; Chang, C.-C. Big Data, Decision Models, and Public Health. Int. J. Environ. Res. Public Health 2020, 17, 6723.

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