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Reliable prediction of childhood obesity using only routinely collected EHRs may be possible; Obesity Pillars; (2024).

Persistent Disparities in Pediatric Health Care Engagement During the COVID-19 Pandemic; Public Health Reports®; (2023).

Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns; arXiv; (2022).

COVID-19 Exposure and Family Impact Scales for Adolescents and Young Adults; Journal of Pediatric Psychology; (2022).

Interrelationships among age at adiposity rebound, BMI during childhood, and BMI after age 14 years in an electronic health record database.; Obesity (Silver Spring, Md.); (2022).

Conducting a pediatric randomized clinical trial during a pandemic: A shift to virtual procedures.; Journal of clinical and translational science; (2022).

Medical factors associated with caregiver intention to vaccinate their children against COVID-19.; Vaccine: X; (2022).

Flexible-Window Predictions on Electronic Health Records.; Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence; (2022).

Validation of the COVID-19 Exposure and Family Impact Scales.; Journal of pediatric psychology; (2022).

Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.; ACM transactions on computing for healthcare; (2022).

Associations Between Weight and Lower Respiratory Tract Disease Outcomes in Hospitalized Children.; Hospital pediatrics; (2022).

Active vs Traditional Methods of Recruiting Children for a Clinical Trial in Rural Primary Care Clinics: A Cluster-Randomized Clinical Trial.; JAMA network open; (2022).

Measuring BMI change among children and adolescents.; Pediatric obesity; (2022).

A Longitudinal Comparison of Alternatives to CDC BMI Z-Scores for Children With Very High BMIs.; The Journal of pediatrics; (2021).

COVID-19 Exposure and Family Impact Scales: Factor Structure and Initial Psychometrics.; Journal of pediatric psychology; (2021).

Concurrent imputation and prediction on EHR data using bi-directional GANs; Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics; (2021).

Disparities in Delaware Caregiver Beliefs about the COVID-19 Vaccine for their Children.; Delaware journal of public health; (2021).

Weight Status and Risk of Inpatient Admission for Children With Lower Respiratory Tract Disease.; Hospital pediatrics; (2021).

Obesity-related asthma in children: A role for vitamin D.; Pediatric pulmonology; (2020).

Electronic Gaming Characteristics Associated with Class 3 Severe Obesity in Youth Who Attend the Pediatric Weight Management Programs of the COMPASS Network; Childhood Obesity; (2019).

An Interpretable Prediction Model for Obesity Prediction using EHR Data; arXiv preprint arXiv:1912.02655; (2019).

Electronic gaming characteristics associated with class 3 severe obesity in youth who attend the pediatric weight management programs of the COMPASS Network; Childhood Obesity; (2019).

Obesity prediction with EHR data: A deep learning approach with interpretable elements; arXiv; (2019).

Characteristics of Children 2 to 5 Years of Age With Severe Obesity. ; Pediatrics; (2018).

Feasibility of Using a Commercial Fitness Tracker as an Adjunct to Family-Based Weight Management Treatment: Pilot Randomized Trial; JMIR mHealth and uHealth; (2018).

A Narrative Review of Medical and Genetic Risk Factors among Children Age 5 and Younger with Severe Obesity.; Childhood obesity (Print); (2018).

Integrating childhood obesity resources into the patient-centered medical home: Provider perspectives in the United States.; Journal of child health care : for professionals working with children in the hospital and community; (2018).

Impact of Psychosocial Risk on Outcomes among Families Seeking Treatment for Obesity.; The Journal of pediatrics; (2018).

Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs.; Cyberpsychology, behavior and social networking; (2017).

Does parent bariatric surgery influence adolescent bariatric surgery outcomes?; Surgery for Obesity and Related Diseases; (2017).

Weight Trajectory in Refugee Children after Resettling in the United States: A Pilot Study. ; Journal of pediatrics and child nutrition; (2016).

Psychological contributors to noncompletion of an adolescent preoperative bariatric surgery program.; Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery; (2016).

Parent perception of weight-related behaviors in young children with obesity; Health Behavior and Policy Review; (2015).

Disparities in parent confidence managing child weight-related behaviors.; Patient education and counseling; (2014).

Evaluation of Sleep Quality in Morbidly Obese Adolescents Seeking Bariatric Surgery; Chest; (2013).

A delayed-control trial examining the impact of body mass index recognition on obesity-related counseling; Clinical Pediatrics; (2013).

A delayed-control trial examining the impact of body mass index recognition on obesity-related counseling; Clinical pediatrics; (2013).

Quarterly visits with glycated hemoglobin monitoring: the sweet spot for glycemic control in youth with type 1 diabetes.; Diabetes care; (2013).

Evaluation of weight loss on a low-calorie meal replacement diet as a potential predictor of weight loss after laparoscopic adjustable gastric banding surgery in adolescents.; Obesity surgery; (2013).

Evaluation of Sleep-Disordered Breathing in Morbidly Obese Adolescents Seeking Bariatric Surgery; Chest; (2013).

Does body mass index accurately reflect body fat? A comparison of anthropometric measures in the longitudinal assessment of fat mass.; Clinical pediatrics; (2012).

Evaluation of intelligence in an adolescent bariatric population.; Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery; (2012).