Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling.

Wu, Xiu; Denise, Blanchard-Boehm; Zhan, F Benjamin; Zhang, Jinting

Wu, Xiu; Denise, Blanchard-Boehm; Zhan, F Benjamin; Zhang, Jinting.

Affiliation

Wu X; Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA.
Denise BB; Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA.
Zhan FB; Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, USA.
Zhang J; School of Resource and Environmental Science, Wuhan University, Wuhan 430070, China.

Int J Environ Res Public Health ; 19(21)2022 10 29.

Article in En | MEDLINE | ID: mdl-36361041

Subject(s)

Air Pollution; Lung Neoplasms; Child; Humans; Air Pollution/adverse effects; Risk Factors; Lung Neoplasms/etiology; Smoking/adverse effects; Diet

Key words

fuzzy inference modeling; health; lung cancer mortality; lung cancer mortality-non-smoking factors; random forest modelling

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollution / Lung Neoplasms Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article

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