Air pollution and cardiorespiratory hospitalization, predictive modeling, and analysis using artificial intelligence techniques

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dc.contributor.authorRaja Sher Afgun Usmani
dc.contributor.authorThulasyammal Ramiah Pillai
dc.contributor.authorIbrahim Abaker Targio Hashem
dc.contributor.authorMohsen Marjani
dc.contributor.authorRafiza Shaharudin
dc.contributor.authorMohd Talib Latif
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T02:04:47Z
dc.date.available2024-05-20T02:04:47Z
dc.date.issued2021
dc.description.abstractThis study aims to investigate the association between cardiorespiratory hospitalization and air pollution, and predict cardiorespiratory hospitalization based on air pollution using the artificial intelligence (AI) techniques.
dc.identifier.citationUsmani, R. S. A., Pillai, T. R., Hashem, I. A. T., Marjani, M., Shaharudin, R., & Latif, M. T. (2021). Air pollution and cardiorespiratory hospitalization, predictive modeling, and analysis using artificial intelligence techniques. Environmental Science and Pollution Research, 28(40), 56759-56771.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1301
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeEnvironmental Science and Pollution Research
dc.subjectAir pollution
dc.subjectHealth
dc.subjectAir quality
dc.subjectPrediction
dc.subjectMachine learning
dc.subjectHospitalization
dc.subjectHospital admissions
dc.titleAir pollution and cardiorespiratory hospitalization, predictive modeling, and analysis using artificial intelligence techniques
dc.typeJournal

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