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Updated: Jun 13, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

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机器学习预测重症监护的儿童幸存者的学校表现不佳:基于人口的队列研究

Patricia Gilholm1, Kristen Gibbons1, Sarah Brüningk2,3

  • 1Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.

Intensive care medicine
|June 24, 2023
PubMed
概括

一个新的机器学习模型预测,在重症监护室 (ICU) 住院后,儿童的学校成绩不佳. 这个工具有助于识别需要额外支持以获得更好的长期教育成功的儿童.

关键词:
孩子孩子孩子孩子孩子孩子重症监护室的重症监护室是重症监护室的重症监护室.机器学习 机器学习神经发育 神经发育学校 学校 学校 学校 在校

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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack07:31

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