Air Pollution Risk Prediction System Utilizing Deep Learning Focused on Cardiovascular Disease

Jisu Lee (이지수); Yoo-Jin Moon (문유진)

doi:10.9708/jksci.2022.27.12.267

Air Pollution Risk Prediction System Utilizing Deep Learning Focused on Cardiovascular Disease

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(12), pp.267-275
DOI : 10.9708/jksci.2022.27.12.267
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 14, 2022
Accepted : December 9, 2022
Published : December 30, 2022

Jisu Lee ¹, Yoo-Jin Moon ¹

¹한국외국어대학교

Accredited

ABSTRACT

This paper proposed a Deep Neural Network Model system utilizing Keras for predicting air pollution risk of the cardiovascular disease through the effect of each component of air on the harmful virus using past air information, with analyzing 18,000 data sets of the Seoul Open Data Plaza. By experiments, the model performed tasks with higher accuracy when using methods of sigmoid, binary_crossentropy, adam, and accuracy through 3 hidden layers with each 8 nodes, resulting in 88.92% accuracy. It is meaningful in that any respiratory disease can utilize the risk prediction system if there are data on the effects of each component of air pollution and fine dust on oil-borne diseases. It can be further developed to provide useful information to companies that produce masks and air purification products.

KEYWORDS

Deep neural network, Keras, Cardiovascular disease, Air pollution, Risk prediction

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Air Pollution Risk Prediction System Utilizing Deep Learning Focused on Cardiovascular Disease

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Air Pollution Risk Prediction System Utilizing Deep Learning Focused on Cardiovascular Disease

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.