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Big Data, Decision Models, and Public Health
| Content Provider | MDPI |
|---|---|
| Author | Chan, Chien-Lung Chang, Chi-Chang |
| Copyright Year | 2020 |
| Description | 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. |
| Starting Page | 6723 |
| e-ISSN | 16604601 |
| DOI | 10.3390/ijerph17186723 |
| Journal | International Journal of Environmental Research and Public Health |
| Issue Number | 18 |
| Volume Number | 17 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-09-15 |
| Access Restriction | Open |
| Subject Keyword | International Journal of Environmental Research and Public Health Information Systems Information and Library Science Big Data Decision Models Public Health |
| Content Type | Text |
