Supporting Machine Learning Model in the Treatment of Chronic Pain
Abstract Conventional therapy options for chronic pain are still insufficient and patients most frequently request alternative medical treatments, such as…
Machine learning
Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19
Abstract Recently, research is emerging highlighting the potential of cannabinoids’ beneficial effects related to anxiety, mood, and sleep disorders as…
Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA
Abstract Electronic nicotine delivery systems (ENDS) (also known as ‘e-cigarettes’) can support smoking cessation, although the long-term health impacts are…
Model Building in Forensic Psychiatry: A Machine Learning Approach to Screening Offender Patients with SSD
Abstract Today’s extensive availability of medical data enables the development of predictive models, but this requires suitable statistical methods, such…
Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data
Abstract Despite advances in periodontal disease (PD) research and periodontal treatments, 42% of the US population suffer from periodontitis. PD…
Machine learning for identification of silylated derivatives from mass spectra
Abstract Motivation: Compound structure identification is using increasingly more sophisticated computational tools, among which machine learning tools are a recent…
Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.)
Abstract As an emerging cash crop, industrial hemp (Cannabis sativa L.) grown for cannabidiol (CBD) has spurred a surge of…
Exploring Impact of Marijuana (Cannabis) Abuse on Adults Using Machine Learning
Abstract Marijuana is the most common illicit substance globally. The rate of marijuana use is increasing in young adults in…
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
Abstract We present a topic modelling and data visualization methodology to examine gender-based disparities in news articles by topic. Existing…
Cannabis use is associated with a small increase in the risk of postoperative nausea and vomiting: a retrospective machine-learning causal analysis
Abstract Background: Cannabis legalization may contribute to an increased frequency of chronic use among patients presenting for surgery. At present,…