Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar
Objectives 4.2 million people die every year from many diseases due to air pollution. The WHO confirms that 92% of the world’s population lives in areas where the air quality limit is exceeded. In 251 days of 2011, the concentration of fine particulate matter in Ulaanbaatar exceeded the permissible...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2023-06-01
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| Series: | BMJ Health & Care Informatics |
| Online Access: | https://informatics.bmj.com/content/30/1/e100678.full |
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| author | Akhit Tileubai Javzmaa Tsend Bat-Enkh Oyunbileg Purevdolgor Luvsantseren Ajnai Luvsan-Ish Baasandorj Chilhaasuren Jargalbat Puntsagdash Galbadrakh Chuluunbaatar Baatarkhuu Tsagaan |
| author_facet | Akhit Tileubai Javzmaa Tsend Bat-Enkh Oyunbileg Purevdolgor Luvsantseren Ajnai Luvsan-Ish Baasandorj Chilhaasuren Jargalbat Puntsagdash Galbadrakh Chuluunbaatar Baatarkhuu Tsagaan |
| author_sort | Akhit Tileubai |
| collection | DOAJ |
| description | Objectives 4.2 million people die every year from many diseases due to air pollution. The WHO confirms that 92% of the world’s population lives in areas where the air quality limit is exceeded. In 251 days of 2011, the concentration of fine particulate matter in Ulaanbaatar exceeded the permissible level by 62%–76%. According to the results of the research, the content of fine particles decreased by 37%–46% in 2019. Because it is harmful to the health of children, we aimed to show the effect of air pollution on the mortality through data mining.Methods In many countries, research is being conducted to generate effective knowledge from big data using data mining methods. So, we are working to introduce this method to the health sector of Mongolia. In this study, we used the decision tree algorithms.Results We collected data on air pollution and under five mortality for 2019–2022 in Ulaanbaatar and created the database, built the models using the algorithms, and compared the results with the Mongolian standard. If the average of PM10 in winter is higher than the concentration specified in the standard, the mortality rate is likely to be high. Mortality is likely to be high if the nitrogen dioxide tolerance is high in the spring.Conclusion The accuracy of the models calculated by the C5.0 algorithm is higher than the determined by the CART algorithm, the sensitivity and specificity values are higher than 0.50, so the mortality rates are uniformly predicted and low mortality prevails. |
| first_indexed | 2024-03-08T16:46:59Z |
| format | Article |
| id | doaj.art-5326a94092bf4c3ea8c0430602ac547d |
| institution | Directory Open Access Journal |
| issn | 2632-1009 |
| language | English |
| last_indexed | 2025-03-20T22:16:06Z |
| publishDate | 2023-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Health & Care Informatics |
| spelling | doaj.art-5326a94092bf4c3ea8c0430602ac547d2024-08-08T23:25:10ZengBMJ Publishing GroupBMJ Health & Care Informatics2632-10092023-06-0130110.1136/bmjhci-2022-100678Study of decision tree algorithms: effects of air pollution on under five mortality in UlaanbaatarAkhit Tileubai0Javzmaa Tsend1Bat-Enkh Oyunbileg2Purevdolgor Luvsantseren3Ajnai Luvsan-Ish4Baasandorj Chilhaasuren5Jargalbat Puntsagdash6Galbadrakh Chuluunbaatar7Baatarkhuu Tsagaan8Department of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Information Technology, School of Information and Telecommunication Technology, Mongolian University of Science and Technology, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Physics & Health Informatics, School of Biomedicine, Mongolian National University of Medical Sciences, Ulaanbaatar, MongoliaDepartment of Information Technology, School of Information and Telecommunication Technology, Mongolian University of Science and Technology, Ulaanbaatar, MongoliaObjectives 4.2 million people die every year from many diseases due to air pollution. The WHO confirms that 92% of the world’s population lives in areas where the air quality limit is exceeded. In 251 days of 2011, the concentration of fine particulate matter in Ulaanbaatar exceeded the permissible level by 62%–76%. According to the results of the research, the content of fine particles decreased by 37%–46% in 2019. Because it is harmful to the health of children, we aimed to show the effect of air pollution on the mortality through data mining.Methods In many countries, research is being conducted to generate effective knowledge from big data using data mining methods. So, we are working to introduce this method to the health sector of Mongolia. In this study, we used the decision tree algorithms.Results We collected data on air pollution and under five mortality for 2019–2022 in Ulaanbaatar and created the database, built the models using the algorithms, and compared the results with the Mongolian standard. If the average of PM10 in winter is higher than the concentration specified in the standard, the mortality rate is likely to be high. Mortality is likely to be high if the nitrogen dioxide tolerance is high in the spring.Conclusion The accuracy of the models calculated by the C5.0 algorithm is higher than the determined by the CART algorithm, the sensitivity and specificity values are higher than 0.50, so the mortality rates are uniformly predicted and low mortality prevails.https://informatics.bmj.com/content/30/1/e100678.full |
| spellingShingle | Akhit Tileubai Javzmaa Tsend Bat-Enkh Oyunbileg Purevdolgor Luvsantseren Ajnai Luvsan-Ish Baasandorj Chilhaasuren Jargalbat Puntsagdash Galbadrakh Chuluunbaatar Baatarkhuu Tsagaan Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar BMJ Health & Care Informatics |
| title | Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar |
| title_full | Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar |
| title_fullStr | Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar |
| title_full_unstemmed | Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar |
| title_short | Study of decision tree algorithms: effects of air pollution on under five mortality in Ulaanbaatar |
| title_sort | study of decision tree algorithms effects of air pollution on under five mortality in ulaanbaatar |
| url | https://informatics.bmj.com/content/30/1/e100678.full |
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