Big Data, Decision Models, and Public Health

Chien-Lung Chan; Chi-Chang Chang

doi:10.3390/ijerph17186723

Big Data, Decision Models, and Public Health

Int J Environ Res Public Health. 2020 Sep 15;17(18):6723. doi: 10.3390/ijerph17186723.

Authors

Chien-Lung Chan^{1

2}, Chi-Chang Chang³

Affiliations

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.

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.

Keywords: big data; decision models; public health.

Publication types

Editorial

MeSH terms

Big Data*
Clinical Decision-Making*
Data Mining*
Machine Learning
Public Health*