Cargando…
Determining Association between Lung Cancer Mortality Worldwide and Risk Factors Using Fuzzy Inference Modeling and Random Forest Modeling
Lung cancer remains the leading cause for cancer mortality worldwide. While it is well-known that smoking is an avoidable high-risk factor for lung cancer, it is necessary to identify the extent to which other modified risk factors might further affect the cell’s genetic predisposition for lung canc...
Autores principales: | Wu, Xiu, Denise, Blanchard-Boehm, Zhan, F.Benjamin, Zhang, Jinting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659002/ https://www.ncbi.nlm.nih.gov/pubmed/36361041 http://dx.doi.org/10.3390/ijerph192114161 |
Ejemplares similares
-
Modeling Uncertainty for the Double Standard Model Using a Fuzzy Inference System
por: Torres, Noelia, et al.
Publicado: (2018) -
A Social Force Evacuation Model with Guides Based on Fuzzy Clustering and a Two-Layer Fuzzy Inference
por: Xiao, Qian, et al.
Publicado: (2022) -
Outlook on a Worldwide Forest Transition
por: Pagnutti, Chris, et al.
Publicado: (2013) -
Diversity-decomposition relationships in forests worldwide
por: Kou, Liang, et al.
Publicado: (2020) -
Model-based patterns in prostate cancer mortality worldwide
por: Fontes, F, et al.
Publicado: (2013)