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Journal of Diabetes Science and Technology|March 6, 2024
A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring DataFlavia Giammarino, Ransalu Senanayake, Priya Prahalad, et al.
Hospital Pediatrics|January 27, 2021
Quantifying Electronic Health Record Data: A Potential Risk for Cognitive OverloadDana B Gal, Brian Han, Chistopher Longhurst, et al.
Open Heart|October 20, 2021
Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patientsAshish Sarraju, Andrew Ward, Sukyung Chung, et al.
Cureus|November 15, 2019
Practice Characteristics of Board-certified Pediatric Anesthesiologists in the US: A Nationwide SurveyMatthew Muffly, David Scheinker, Tyler Muffly, et al.
Pediatric Diabetes|July 19, 2020
Uninterrupted continuous glucose monitoring access is associated with a decrease in HbA1c in youth with type 1 diabetes and public insuranceAnanta Addala, David M Maahs, David Scheinker, et al.
Diabetes Technology & Therapeutics|June 11, 2019
Hemoglobin A1c Trajectory in Pediatric Patients with Newly Diagnosed Type 1 DiabetesPriya Prahalad, Jaden Yang, David Scheinker, et al.
Scientific Data|March 7, 2023
WAVES - The Lucile Packard Children's Hospital Pediatric Physiological Waveforms DatasetDaniel R Miller, Gurpreet S Dhillon, Nicholas Bambos, et al.
Health Care Management Science|September 4, 2023
Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in pressYuan Shi, Saied Mahdian, Jose Blanchet, et al.
Journal of Diabetes and Its Complications|June 15, 2021
Improved individual and population-level HbA1c estimation using CGM data and patient characteristicsJoshua Grossman, Andrew Ward, Jamie L Crandell, et al.
Pediatric Quality & Safety|September 3, 2021
Effect of Time of Daily Data Collection on the Calculation of Catheter-associated Urinary Tract Infection RatesLane F Donnelly, Matthew Wood, Ling Loh, et al.
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