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Kristyn S Beam

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Archives of Disease in Childhood. Fetal and Neonatal Edition|April 15, 2025
Validation of a machine learning algorithm for predicting hypoxic ischaemic encephalopathyKristyn S Beam
Pediatric Research|December 22, 2022
Machine learning: remember the fundamentalsKristyn S Beam, John A F Zupancic
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|March 20, 2019
Antecedents and outcomes of hypothermia at admission to the neonatal intensive care unitCaroline Elbaum, Kristyn S Beam, Olaf Dammann, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|March 2, 2021
Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance databaseKristyn S Beam, Matthew Lee, Keith Hirst, et al.
Applied Clinical Informatics|April 6, 2017
Examining Perceptions of Computerized Physician Order Entry in a Neonatal Intensive Care UnitKristyn S Beam, Megan Cardoso, Megan Sweeney, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|January 7, 2023
Prediction of extubation failure among low birthweight neonates using machine learningAnnamalai Natarajan, Grace Lam, Jingyi Liu, et al.
Applied Clinical Informatics|July 4, 2019
Computerized Physician Order Entry in the Neonatal Intensive Care Unit: A Narrative ReviewJaclyn B York, Megan Z Cardoso, Dara S Azuma, et al.
The Pediatric Infectious Disease Journal|March 18, 2014
Predictors of positive cerebrospinal fluid cultures in infants with bacteremiaKristyn S Beam, Matthew M Laughon, Christoph P Hornik, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|December 9, 2020
COVID-19: neonatal-perinatal perspectivesAlejandra Barrero-Castillero, Kristyn S Beam, Laura B Bernardini, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Archives of Disease in Childhood. Fetal and Neonatal Edition|April 15, 2025
Validation of a machine learning algorithm for predicting hypoxic ischaemic encephalopathyKristyn S Beam
Pediatric Research|December 22, 2022
Machine learning: remember the fundamentalsKristyn S Beam, John A F Zupancic
The Journal of Maternal-Fetal & Neonatal Medicine : the Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians|March 20, 2019
Antecedents and outcomes of hypothermia at admission to the neonatal intensive care unitCaroline Elbaum, Kristyn S Beam, Olaf Dammann, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|March 2, 2021
Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance databaseKristyn S Beam, Matthew Lee, Keith Hirst, et al.
Applied Clinical Informatics|April 6, 2017
Examining Perceptions of Computerized Physician Order Entry in a Neonatal Intensive Care UnitKristyn S Beam, Megan Cardoso, Megan Sweeney, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|January 7, 2023
Prediction of extubation failure among low birthweight neonates using machine learningAnnamalai Natarajan, Grace Lam, Jingyi Liu, et al.
Applied Clinical Informatics|July 4, 2019
Computerized Physician Order Entry in the Neonatal Intensive Care Unit: A Narrative ReviewJaclyn B York, Megan Z Cardoso, Dara S Azuma, et al.
The Pediatric Infectious Disease Journal|March 18, 2014
Predictors of positive cerebrospinal fluid cultures in infants with bacteremiaKristyn S Beam, Matthew M Laughon, Christoph P Hornik, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|December 9, 2020
COVID-19: neonatal-perinatal perspectivesAlejandra Barrero-Castillero, Kristyn S Beam, Laura B Bernardini, et al.
Pageof 1