@inproceedings{c88f5dd7516f48579b20db394c200c10,
title = "Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from Disease",
abstract = "In this study, we investigated the correlations between environmental factors and diseases related to death in Korea. We collected data on natural harmful and social environmental factors from 2015 to 2017 in Korea. We defined the cause of death by disease as a dependent variable and conducted analyses to derive related attributes. We used a multiple linear regression analysis and classification and regression tree models as analytical methods to derive associated attributes. The results of this study indicate that natural environmental factors have a negative correlation with the cause of death by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.",
keywords = "Big data, Cause of death, Classification and regression tree analysis, Multi linear regression",
author = "Jang, \{Kyoung ae\} and Kim, \{Woo Je\}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 6th International Conference on Big Data Applications and Services, BigDAS 2018 ; Conference date: 19-08-2018 Through 22-08-2018",
year = "2021",
doi = "10.1007/978-981-15-8731-3\_1",
language = "English",
isbn = "9789811587306",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--14",
editor = "Wookey Lee and Leung, \{Carson K.\} and Aziz Nasridinov",
booktitle = "Big Data Analyses, Services, and Smart Data, BigDAS 2018",
}