Machine learning applications in tobacco research: a scoping review
Objective Identify and review the body of tobacco research literature that self-identified as
using machine learning (ML) in the analysis. Data sources MEDLINE, EMABSE, PubMed …
using machine learning (ML) in the analysis. Data sources MEDLINE, EMABSE, PubMed …
[HTML][HTML] Wearable sensors for monitoring of cigarette smoking in free-living: a systematic review
Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The
design of effective cessation interventions requires an accurate and objective assessment of …
design of effective cessation interventions requires an accurate and objective assessment of …
[HTML][HTML] Machine learning-based CYGNSS soil moisture estimates over ISMN sites in CONUS
Soil moisture (SM) derived from satellite-based remote sensing measurements plays a vital
role for understanding Earth's land and near-surface atmosphere interactions. Bistatic …
role for understanding Earth's land and near-surface atmosphere interactions. Bistatic …
A CNN-LSTM neural network for recognition of puffing in smoking episodes using wearable sensors
A detailed assessment of smoking behavior under free-living conditions is a key challenge
for health behavior research. A number of methods using wearable sensors and puff …
for health behavior research. A number of methods using wearable sensors and puff …
[HTML][HTML] A report on smoking detection and quitting technologies
Mobile health technologies are being developed for personal lifestyle and medical
healthcare support, of which a growing number are designed to assist smokers to quit. The …
healthcare support, of which a growing number are designed to assist smokers to quit. The …
[HTML][HTML] Real-time prediction of smoking activity using machine learning based multi-class classification model
Smoking cessation efforts can be greatly influenced by providing just-in-time intervention to
individuals who are trying to quit smoking. Detecting smoking activity accurately among the …
individuals who are trying to quit smoking. Detecting smoking activity accurately among the …
[HTML][HTML] Detection of smoking in indoor environment using machine learning
JH Cho - Applied Sciences, 2020 - mdpi.com
Revealed by the effect of indoor pollutants on the human body, indoor air quality
management is increasing. In particular, indoor smoking is one of the common sources of …
management is increasing. In particular, indoor smoking is one of the common sources of …
[HTML][HTML] Using smartwatches to detect face touching
Frequent spontaneous facial self-touches, predominantly during outbreaks, have the
theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the …
theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the …
Smoking cessation system for preemptive smoking detection
Smoking cessation is a significant challenge for many people addicted to cigarettes and
tobacco. Mobile health-related research into smoking cessation is primarily focused on …
tobacco. Mobile health-related research into smoking cessation is primarily focused on …
Smokemon: unobtrusive extraction of smoking topography using wearable energy-efficient thermal
Smoking is the leading cause of preventable death worldwide. Cigarette smoke includes
thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the …
thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the …