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A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

机译：用于临床决策支持系统的分层专家引导机器学习框架：一种创伤性脑损伤预后的应用

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摘要

Demographic and clinical characteristics of study subjects.

机译：研究对象的人口和临床特征。

著录项

期刊名称 NPJ Digital Medicine
作者
Negar Farzaneh; Craig A. Williamson; Jonathan Gryak; Kayvan Najarian;
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作者单位

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年(卷),期 2021(-1),-1
年度 2021
页码 -1
总页数 9
原文格式 PDF
正文语种
中图分类
关键词
Risk factors; Disease-free survival; Brain injuries; Outcomes research;

机译：风险因素;无病生存;脑损伤;结果研究;

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专利

1. Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales [J] . J N Stroh, Tellen D Bennett, Vitaly Kheyfets, JMIR Medical Informatics . 2021,第3期

机译：对创伤性脑损伤的临床决策支持：识别多重时间尺度的实际模型的颅内压估计框架
2. Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries [J] . Ballard Dustin W., Kuppermann Nathan, Vinson David R., Annals of Emergency Medicine: Journal of the American College of Emergency Physicians and the University Association for Emergency Medicine . 2019,第5期

机译：对患有患有患有非资格脑损伤风险的小钝头创伤的临床决策支持系统
3. Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting [J] . G Segal, A Segev, A Brom, Journal of the American Medical Informatics Association : . 2019,第12期

机译：通过在住院环境中应用概率，机器学习基于临床决策支持系统降低药物处方错误和不良药物事件
4. Cerebral Autoregulation Monitoring and Online Arden Syntax Clinical Decision Support for the Treatment of Intracranial Hypertension in Children with Traumatic Brain Injury [C] . Sergei B. ARSENIEV, Valeri G. AMCHESLAVSKY, Valeri I. LUKIANOV, Health Informatics Meets Digital Healtd Conference . 2020

机译：脑自动调节监测和在线arden语法临床决策支持治疗创伤性脑损伤的儿童颅内高血压
5. Machine Learning Frameworks for Data-Driven Personalized Clinical Decision Support and the Clinical Impact [D] . Lee, Changhee. 2021

机译：用于数据驱动个性化临床决策支持的机器学习框架和临床影响
6. Reducing drug prescription errors and adverse drug events by application of a probabilistic machine-learning based clinical decision support system in an inpatient setting [O] . G Segal, A Segev, A Brom, 2019

机译：通过在住院环境中应用概率机器学习的临床决策支持系统减少药物处方错误和不良药物事件
7. Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries [O] . Dustin W. Ballard, Nathan Kuppermann, David R. Vinson, 2019

机译：用于患有患有非资格脑损伤风险的小钝头创伤的临床决策支持系统

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

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