An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics and Decision Making. 2015; 15:37.
Evaluating the accuracy of electronic pediatric drug dosing rules. Journal of the American Medical Informatics Association : JAMIA. 2014; 21(e1):e43-e49.
Analysis of electronic medication orders with large overdoses: opportunities for mitigating dosing errors. Applied Clinical Informatics. 2014; 5(1):25-45.
Assessing the reliability of an automated dose-rounding algorithm. Journal of Biomedical Informatics. 2013; 46(5):814-821.
Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department. Journal of the American Medical Informatics Association : JAMIA. 2012; 19(3):443-447.
Automated dose-rounding recommendations for pediatric medications. Pediatrics. 2011; 128(2):e422-e428.
Heterogenous effect of automated alerts on mortality. Journal of the American Medical Informatics Association : JAMIA. 2025.
Integrating secondary prevention of rheumatic heart disease into the primary healthcare system in Northern Uganda. BMJ Global Health. 2025; 10(8).
Forecasting school violence risk with incomplete interview data: an automated assessment approach. JAMIA Open. 2025; 8(4):ooaf084.
Multisite Implementation of a Sexual Health Survey and Clinical Decision Support to Promote Adolescent Sexually Transmitted Infection Screening. Applied Clinical Informatics. 2025; 16(2):283-294.
Timeline of Weaning in Pediatric Long-Term Mechanical Ventilator Dependent Children: A Longitudinal Cohort Study. Pediatric Pulmonology. 2025; 60(1):e27405.
3.4 What Matters Most: A Machine Learning Approach to Identify the Most Important Questions in the Automated Risk Assessment of School Violence. Journal of the American Academy of Child and Adolescent Psychiatry. 2024; 63(10):s206-s207.
Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study. Discover Data. 2024; 2(1):10.
Investigation of bias in the automated assessment of school violence. Journal of Biomedical Informatics. 2024; 157:104709.
Machine Learning-Based Prediction of Escitalopram and Sertraline Side Effects With Pharmacokinetic Data in Children and Adolescents. Clinical Pharmacology and Therapeutics. 2024; 115(4):860-870.
Early Identification of Candidates for Epilepsy Surgery: A Multicenter, Machine Learning, Prospective Validation Study. Neurology. 2024; 102(4):e208048.
HSCT Patient and Family Education Concept Identification. Transplantation and Cellular Therapy. 2024; 30(2):s344-s345.
Pediatric Health and System Impacts of Mass Incarceration, 2009-2020: A Matched Cohort Study. Academic Pediatrics. 2024; 24(8):1285-1295.
Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States. Environmental Advances. 2023; 14.
Evaluating the implementation of a dynamic digital application to enable community-based decentralisation of rheumatic heart disease case management in Uganda: protocol for a hybrid type III effectiveness-implementation study. BMJ Open. 2023; 13(10):e071540.
1.2 Forecasting Best Performance with Incomplete Resources: Automated Risk Assessment of School Violence. Journal of the American Academy of Child and Adolescent Psychiatry. 2023; 62(10):s155.
Development and User Testing of a Dynamic Tool for Rheumatic Heart Disease Management. Applied Clinical Informatics. 2023; 14(5):866-877.
Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Epilepsia. 2023; 64(7):1791-1799.
Built environment factors predictive of early rapid lung function decline in cystic fibrosis. Pediatric Pulmonology. 2023; 58(5):1501-1513.
Tu1967 ENTITY AND RELATION IDENTIFICATION IN UNSTRUCTURED ENDOSCOPY REPORTS. Gastroenterology. 2023; 164(6):s-1165.
115. Automated Identification of Transgender and Gender Non-conforming patients from Electronic Health Record Data. Journal of Adolescent Health. 2023; 72(3):s66.
Standardizing electronic health record ventilation data in the pediatric long-term mechanical ventilator-dependent population. Pediatric Pulmonology. 2023; 58(2):433-440.
Body Mass Index Increased at a Large Midwestern Children's Hospital During the COVID-19 Pandemic. Childhood Obesity. 2023; 19(6):364-372.
Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 2022; 10(12):e37833.
2.7 Automated Detection of School Violence Using Linguistic Features. Journal of the American Academy of Child and Adolescent Psychiatry. 2022; 61(10):s184-s185.
The Risk of Coding Racism into Pediatric Sepsis Care: The Necessity of Antiracism in Machine Learning. Journal of Pediatrics. 2022; 247:129-132.
Diversity in Machine Learning: A Systematic Review of Text-Based Diagnostic Applications. Applied Clinical Informatics. 2022; 13(3):569-582.
Aligning Provider Prescribing With Guidelines for Soft Tissue Infections. Pediatric Emergency Care. 2022; 38(3):e1063-e1068.
User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors. 2022:517-521.
An ontology-based review of transgender literature: Revealing a history of medicalization and pathologization. International Journal of Medical Informatics. 2021; 156:104601.
Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurologica Scandinavica. 2021; 144(1):41-50.
Creation and Evaluation of the Gender, Sex, and Sexual Orientation (GSSO) Ontology. Pediatrics. 2021; 147(3_MeetingAbstract):602-603.
Effectiveness of a Universally Offered Chlamydia and Gonorrhea Screening Intervention in the Pediatric Emergency Department. Journal of Adolescent Health. 2021; 68(1):57-64.
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2021; 2021:783-792.