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通过数据工程方法分析空气污染、烟草使用与肺部疾病之间的关系。

Analyzing the Relationship Between Air Pollution, Tobacco Use with Lung Diseases via Data Engineering Approach.

作者信息

Pinarer Ozgun

机构信息

Department of Computer Engineering, Galatasaray University, Istanbul, Turkey.

出版信息

Turk Thorac J. 2021 Jul;22(4):289-296. doi: 10.5152/TurkThoracJ.2021.20133.

Abstract

OBJECTIVE

The objective of this study is to present the concrete impact of air pollution and tobacco use on lung disease by using a data engineering approach and acquired datasets.

MATERIAL AND METHODS

To demonstrate the relationship between the air pollution and the tobacco use with the lung diseases, various relevant datasets are acquired. These datasets present not only Turkey but also worldwide situation. Datasets used in this study present the population, industrial growth, number of motor vehicles, forest area size, tobacco use rate, air pollution, number of death due to asthma, lung disease, tobacco use and air pollution. In total, 10 different datasets are gathered to prove our objective. To achieve our objective with the acquired materials, a data engineering approach is adopted. From a data engineering point of view, each dataset represents a variable for the calculation. With the data science engineering techniques used in this study, existing relations between these variables are clearly stated. Besides, with this information, a cause-consequence matching is achieved as well. In this study, covariance, correlation analyses are executed on the datasets. Moreover, multi-linear regression is performed for the forecasting.

RESULTS

Relations between the various datasets are explored and results are divided into 3 clusters based on the relations. Among the explored relations, the most significant relation is discovered between the tobacco use rate and its effects on death rates. This relation is measured around 93-94%, which can be considered as a high risk.

CONCLUSION

Results show the concrete impacts of deforestation on air pollution, increase in tobacco use especially in easy ages causes lung disease in worldwide. These results indicate a global warning about various senses: the importance of the forest area size to balance the air quality, regulations about the number of motor vehicles, and the tobacco selling to young people are highly required.

摘要

目的

本研究的目的是通过使用数据工程方法和获取的数据集,呈现空气污染和烟草使用对肺部疾病的具体影响。

材料与方法

为了证明空气污染和烟草使用与肺部疾病之间的关系,获取了各种相关数据集。这些数据集不仅呈现了土耳其的情况,也呈现了全球的情况。本研究中使用的数据集展示了人口、工业增长、机动车数量、森林面积大小、烟草使用率、空气污染、因哮喘、肺部疾病、烟草使用和空气污染导致的死亡人数。总共收集了10个不同的数据集以证明我们的目标。为了用获取的材料实现我们的目标,采用了数据工程方法。从数据工程的角度来看,每个数据集代表一个用于计算的变量。通过本研究中使用的数据科学工程技术,明确阐述了这些变量之间的现有关系。此外,利用这些信息,还实现了因果匹配。在本研究中,对数据集进行了协方差、相关性分析。此外,还进行了多线性回归用于预测。

结果

探索了各种数据集之间的关系,并根据这些关系将结果分为3个聚类。在探索的关系中,发现烟草使用率与其对死亡率的影响之间的关系最为显著。这种关系的测量值约为93 - 94%,可被视为高风险。

结论

结果显示了森林砍伐对空气污染的具体影响,烟草使用的增加,尤其是在易患年龄段,在全球范围内导致肺部疾病。这些结果在多个方面发出了全球警示:森林面积大小对平衡空气质量的重要性、对机动车数量的规定以及对向年轻人销售烟草的严格要求。

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