This paper describes a supervised machine learning approach for identifying heart disease risk factors in clinical text, and assessing the impact of annotation granularity and quality on the system's ability to recognize these risk factors. We utiliz...
OBJECTIVE: To describe the technique of robotic buccal mucosa graft ureteroplasty as a minimally invasive alternative method of ureteral reconstruction for proximal or multifocal ureteral strictures not amenable to primary anastomosis.
OBJECTIVE: The purpose of this study is to quantify computerized calcification features from ultrasonography (US) images of thyroid nodules in order to determine the ability to differentiate between malignant and benign thyroid nodules.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 23, 2015
This study introduces the use of multivariate linear regression (MLR) and support vector regression (SVR) models to predict postoperative outcomes in a cohort of patients who underwent surgery for cervical spondylotic myelopathy (CSM). Currently, pre...
BACKGROUND: The physical distance between predator and prey is a primary determinant of behavior, yet few paradigms exist to study this reliably in rodents.
Neuroimaging has identified many correlates of emotion but has not yet yielded brain representations predictive of the intensity of emotional experiences in individuals. We used machine learning to identify a sensitive and specific signature of emoti...
Emotions are central to our daily lives, but their neural basis is not well understood; a new study uses fMRI to identify a complex multisystem neural signature of negative emotion induced by viewing distressing photographs.
BACKGROUND: The necessity for urinary diversion with trans-anastomotic ureteral stenting during pyeloplasty is currently under debate. Performing a stentless repair could eliminate stent-related morbidity, including: stent migration, urinary tract in...
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