XGBoost

January 2, 2025

Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study

Abstract Background: Acute marijuana intoxication can impair motor skills and cognitive functions such as attention and information processing. However, traditional…

August 6, 2024

Rapid In Situ Near-Infrared Assessment of Tetrahydrocannabinolic Acid in Cannabis Inflorescences before Harvest Using Machine Learning

Abstract Cannabis is cultivated for therapeutic and recreational purposes where delta-9 tetrahydrocannabinol (THC) is a main target for its therapeutic…

October 13, 2022

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…

October 13, 2021

Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China

Abstract The health and welfare of older adults have raised increasing attention due to global aging. Cycling is a physical…

March 19, 2020

PreMSIm: An R package for predicting microsatellite instability from the expression profiling of a gene panel in cancer

Keywords: Cancer, Microsatellite instability, Gene expression profiling, Machine learning, Algorithm, Classification, AUC, area under the curve, CV, cross validation, GEO,…