Article Title,Year,Volume,Issue,Page Range,Author
Using science to sell apps: evaluation of mental health app store quality claims,2019,2,,e18,Nicholas
Accelerometer-based predictive models of fall risk in older women: a pilot study,2018,1,,e25,Lacroix
Digital assessment of falls risk frailty and mobility impairment using wearable sensors,2019,2,,125,Caulfield
A machine learning approach predicts future risk to suicidal ideation from social media data,2020,3,,e78,Kaminsky
Internet search patterns reveal firearm sales policies and deaths,2020,3,1,e152,Brownstein
Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study,2019,2,1,e127,Wang
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior,2021,4,1,e74,Hendershot
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication,2021,4,1,78,Najarian
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes,2021,4,1,e149,Becker
Sports related concussion: an emerging era in digital sports technology,2021,4,1,e164,Godfrey
Dynamic prediction of mortality after traumatic brain injury using a machine learning algorithm,2022,5,1,96,Luoto
Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction,2023,6,1,e47,Ahmedani
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game,2023,6,1,e106,David
Disparities in cannabis use and documentation in electronic health records among children and young adults,2023,6,1,e138,Kiapour
Author Correction: Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game,2023,6,1,e230,David
Contextualizing remote fall risk: Video data capture and implementing ethical AI,2024,7,1,e61,Hetherington