The Potential of Training to Increase Acceptance and Use of Computerized Decision Support Systems for Medical Diagnosis. - Fuji Lai; Jean MacMillan; Denise H. Daudelin; David M. Kent (Hum. Factors, 2006)

Natural Language Processing for the Identification of Silent Brain Infractions from Neuroimaging Reports. - Sunyang Fu; Lester Y. Leung; Anne-Olivia Raulli; David F. Kallmes; Kristin A. Kinsman; Kristoff B. Nelson; Michael S. Clark; Patrick H. Luetmer; Paul R. Kingsbury; David M. Kent; Hongfang Liu (AMIA, 2018)

Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction. - Sunyang Fu; Lester Y. Leung; Anne-Olivia Raulli; David F. Kallmes; Kristin A. Kinsman; Kristoff B. Nelson; Michael S. Clark; Patrick H. Luetmer; Paul R. Kingsbury; David M. Kent; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2020)

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities. - Jessica K. Paulus; David M. Kent (npj Digit. Medicine, 2020)

Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. - Gian Marco Visani; Alexandra Hope Lee; Cuong Nguyen; David M. Kent; John B. Wong; Joshua T. Cohen; Michael C. Hughes (MLHC, 2021)

A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data. - Ethan Harvey; Wansu Chen; David M. Kent; Michael C. Hughes (ML4H@NeurIPS, 2023)

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. - Alexandros Rekkas; David van Klaveren; Patrick B. Ryan; Ewout W. Steyerberg; David M. Kent; Peter R. Rijnbeek (npj Digit. Medicine, 2023)

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor. - Keren Ladin; John Cuddeback; O. Kenrik Duru; Sharad Goel; William Harvey 003; Jinny G. Park; Jessica K. Paulus; Joyce Sackey; Richard Sharp; Ewout W. Steyerberg; Berk Ustun; David van Klaveren; et al. (npj Digit. Medicine, 2024)