XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction

Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of developing SiNCDs. However, determining the most si...

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Detalles Bibliográficos
Autores principales: Davagdorj, Khishigsuren, Pham, Van Huy, Theera-Umpon, Nipon, Ryu, Keun Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558165/
https://www.ncbi.nlm.nih.gov/pubmed/32906777
http://dx.doi.org/10.3390/ijerph17186513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558165/
https://www.ncbi.nlm.nih.gov/pubmed/32906777
http://dx.doi.org/10.3390/ijerph17186513

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