[HTML][HTML] Harnessing Machine Learning in Contemporary Tobacco Research
Abstract Machine learning (ML) has the potential to transform tobacco research and address
the urgent public health crisis posed by tobacco use. Despite the well-documented health …
the urgent public health crisis posed by tobacco use. Despite the well-documented health …
Key risk factors associated with electronic nicotine delivery systems use among adolescents
TTT Le - JAMA Network Open, 2023 - jamanetwork.com
Importance The prevalence of electronic nicotine delivery systems (ENDS) use among US
youths has increased significantly during the past decade. Identifying key factors highly …
youths has increased significantly during the past decade. Identifying key factors highly …
[PDF][PDF] Smoker Status Prediction Using Long Short
HF Mau - Jurnal Teknik Informatika - researchgate.net
This abstract explores the utilization of the Long Short-Term Memory (LSTM) algorithm to
predict smoking status using the Kaggle dataset consisting of 23 attributes and nearly …
predict smoking status using the Kaggle dataset consisting of 23 attributes and nearly …