Shannon M. Standridge

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Economic factors play an increasingly important role in the management of medical conditions. This study evaluated the economic impact of seizures in children in the United States using a large national data set known as the Kids' Inpatient Database (KID). The aim of this study was to characterize hospitalizations including total costs, length of stay, and(More)
PURPOSE Approximately 20% of children with epilepsy are drug-resistant, incurring considerable costs. Epilepsy surgery has been shown to be an effective intervention in this population. This study provides an initial look at the costs associated with surgical management of children with drug-resistant epilepsy as compared with medical management alone. (More)
This updated review of pediatric idiopathic intracranial hypertension focuses on epidemiology, clinical presentations, diagnostic criteria, evaluation, clinical course, and treatment. General guidelines for the clinical management of idiopathic intracranial hypertension are discussed. A new algorithm outlines an efficient management strategy for the initial(More)
OBJECTIVE To identify which clinical characteristics are important to include in clinical decision support systems developed for Antiepileptic Drug (AEDs) selection. METHODS Twenty-three epileptologists from the Childhood Absence Epilepsy network completed a survey related to AED selection. Using cluster analysis their responses where classified into(More)
There are few studies in the pediatric population regarding the use of magnetic resonance venography to rule out cerebral venous sinus thrombosis in patients presenting with signs and symptoms of idiopathic intracranial hypertension. The purpose of this study was to compare the clinical characteristics of children with presumed idiopathic intracranial(More)
The aim of this study was to determine the incidence and describe the factors influencing ictal cardiac arrhythmias in children with epilepsy. A 2-year review within a pediatric epilepsy monitoring unit revealed 2066 electrographically confirmed seizures in 139 patients. Demographic, seizure, and cardiac variables were collected for each patient. Fisher's(More)
OBJECTIVE We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from the electronic health record (EHR). Both known clinical(More)
This research analyzed the clinical notes of epilepsy patients using techniques from corpus linguistics and machine learning and predicted which patients are candidates for neurosurgery, i.e. have intractable epilepsy, and which are not. Information-theoretic and machine learning techniques are used to determine whether and how sets of clinic notes from(More)
We developed a content validated computerized epilepsy treatment clinical decision support system to assist clinicians with selecting the best antiepilepsy treatments. Before disseminating our computerized epilepsy treatment clinical decision support system, further rigorous validation testing was necessary. As reliability is a precondition of validity, we(More)