This study compares the performance of machine learning to conventional logistic regression for risk factor analysis in pediatric supracondylar humerus fractures using a multi-institutional database.
EPUB eBook Format (ISBN: 978-1-948459-02-0) and iBooks Author Format (ISBN: 978-1-948459-03-7) available for download below. The majority of medical students will participate in some form …
This study evaluates the performance of three different machine learning models trained to predict surgical complications in pediatric posterior spinal arthrodesis based on clinical risk …
Identifying disparities in healthcare is important for patient safety. In this national cohort of outpatients with a UTI, differences in potentially suboptimal antibiotic treatment were …
Providing sufficient healthcare in carceral settings themselves is complicated by lack of privacy and the inherent dialectic of prisons that restrict freedom and providers focusing …
Most US medical schools (86/121, 71%) fail to provide the recommended minimum 25 hours of nutrition education to students; 43 (36%) provide less than half …
To evaluate the association between consumption of coffee, tea, or soft drinks and glaucoma in participants of the National Health and Nutrition Examination Survey (NHANES).
Poster presented at American Society for Reproductive Medicine annual conference on exploring the effect of sperm source on high quality blastocyst development.