William Feaster
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View article: Birth Weight and Gestational Age as Modifiers of Rehospitalization after Neonatal Intensive Care Unit Admission
Birth Weight and Gestational Age as Modifiers of Rehospitalization after Neonatal Intensive Care Unit Admission Open
Objective This study aimed to assess interaction effects between gestational age and birth weight on 30-day unplanned hospital readmission following discharge from the neonatal intensive care unit (NICU). Study Design This is a retrospecti…
View article: In Vivo Performance of a Machine Learning Model Predicting Pediatric Sepsis at Triage
In Vivo Performance of a Machine Learning Model Predicting Pediatric Sepsis at Triage Open
Introduction: Sepsis is a leading cause of pediatric mortality across the globe. Early recognition reduces mortality; and improve outcomes however, rapid detection remains difficult. Although physiologic mechanisms contribute to the comple…
View article: Association of Congenital and Acquired Cardiovascular Conditions With COVID-19 Severity Among Pediatric Patients in the US
Association of Congenital and Acquired Cardiovascular Conditions With COVID-19 Severity Among Pediatric Patients in the US Open
The findings suggest that some previous or preexisting cardiovascular conditions are associated with increased severity of COVID-19 among pediatric patients in the US and that morbidity may be increased among individuals children younger t…
View article: Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
Standardized Health data and Research Exchange (SHaRE): promoting a learning health system Open
Aggregate de-identified data from electronic health records (EHRs) provide a valuable resource for research. The Standardized Health data and Research Exchange (SHaRE) is a diverse group of US healthcare organizations contributing to the C…
View article: A Multivariable Model of Parent Satisfaction, Pain, and Opioid Administration in a Pediatric Emergency Department
A Multivariable Model of Parent Satisfaction, Pain, and Opioid Administration in a Pediatric Emergency Department Open
Introduction: Children and adolescents are not impervious to the unprecedented epidemic of opioid misuse in the United States. In 2016 more than 88,000 adolescents between the ages of 12–17 reported misusing opioid medication, and evidence…
View article: A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia
A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia Open
Introduction Multiple algorithms based on 12-lead ECG measurements have been proposed to identify the right ventricular outflow tract (RVOT) and left ventricular outflow tract (LVOT) locations from which ventricular tachycardia (VT) and fr…
View article: Multicenter study of risk factors of unplanned 30‐day readmissions in pediatric oncology
Multicenter study of risk factors of unplanned 30‐day readmissions in pediatric oncology Open
Background Pediatric oncology patients have high rates of hospital readmission but there is a dearth of research into risk factors for unplanned 30‐day readmissions among this high‐risk population. Aim In this study, we built a statistical…
View article: Predictors of pediatric readmissions among patients with neurological conditions
Predictors of pediatric readmissions among patients with neurological conditions Open
Background Unplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological …
View article: Opportunities for Regulatory Changes to Promote Pediatric Device Innovation in the United States: Joint Recommendations From Pediatric Innovator Roundtables
Opportunities for Regulatory Changes to Promote Pediatric Device Innovation in the United States: Joint Recommendations From Pediatric Innovator Roundtables Open
Several proposed strategies were discussed, and these strategies can be divided into two broad categories: 1. Removal of real and perceived barriers to pediatric device innovation; 2. Increasing incentives for pediatric device innovation.
View article: A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Open
Highly predictive models can be built to predict COVID-19 severity of patients with cardiovascular and other circulatory conditions. Super learning ensembles will improve individual and classical ensemble models significantly.
View article: Additional file 1 of Predictors of pediatric readmissions among patients with neurological conditions
Additional file 1 of Predictors of pediatric readmissions among patients with neurological conditions Open
Additional file 1. Summary statistics of neurological conditions considered.
View article: A High Precision Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia
A High Precision Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia Open
Several algorithms based on 12-lead ECG measurements have been proposed to identify right ventricular outflow tract (RVOT) and left ventricular outflow tract (LVOT) locations from which ventricular tachycardia (VT) and frequent premature v…
View article: Agile clinical research: A data science approach to scrumban in clinical medicine
Agile clinical research: A data science approach to scrumban in clinical medicine Open
The COVID-19 pandemic has required greater minute-to-minute urgency of patient treatment in Intensive Care Units (ICUs), rendering the use of Randomized Controlled Trials (RCTs) too slow to be effective for treatment discovery. There is a …
View article: A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses
A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses Open
Objective Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learni…
View article: HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions
HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions Open
Background There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, described, and applied a cl…