Using Time Series Analysis to Predict Cardiac Arrest in a PICU

Kennedy Curtis E.; Aoki Noriaki; Mariscalco Michele; Turley James P.

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Using Time Series Analysis to Predict Cardiac Arrest in a PICU

机译：使用时间序列分析预测PICU中的心脏骤停

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摘要

Objectives: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.

机译：目标：使用时间序列分析作为输入，在PICU中建立和测试心脏骤停预测模型，并测量可归因于不同类别的时间序列数据的预测准确性的变化。

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《Pediatric critical care medicine: a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies》 |2015年第9期|共8页
作者
Kennedy Curtis E.; Aoki Noriaki; Mariscalco Michele; Turley James P.;
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正文语种 eng
中图分类儿科学;
关键词
cardiac arrest; clinical decision support systems; machine learning; pediatric intensive care units; projections and predictions;

机译：心脏骤停;临床决策支持系统;机器学习;儿科重症监护病房;预测和预测;

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1. Using Time Series Analysis to Predict Cardiac Arrest in a PICU [J] . Kennedy Curtis E., Aoki Noriaki, Mariscalco Michele, Pediatric critical care medicine: a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies . 2015,第9期

机译：使用时间序列分析预测PICU中的心脏骤停
2. Time series analysis as input for clinical predictive modeling: Modeling cardiac arrest in a pediatric ICU [J] . Curtis E Kennedy, James P Turley Theoretical Biology and Medical Modelling . 2011,第1期

机译：时间序列分析作为临床预测建模的输入：在儿科ICU中建模心脏骤停
3. Effect of National Implementation of Telephone CPR Program to Improve Outcomes from Out-of-Hospital Cardiac Arrest: an Interrupted Time-Series Analysis [J] . Lee Yu Jin, Hwang Seung-sik, Shin Sang Do, Journal of Korean medical science. . 2018,第51期

机译：国家实施电话心肺复苏计划对改善院外心脏骤停治疗效果的影响：时间序列分析
4. Predict the Neurological Recovery under Hypothermia after Cardiac Arrest Using C0 Complexity Measure of EEG signals [C] . Yueli Lu, Dineng Jiang, Xiaofeng Jia, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2008

机译：使用EEG信号的C0复杂度测量，在心脏骤停后预测耐温下的神经恢复
5. Assessment and prediction of cardiovascular status during cardiac arrest through machine learning and dynamical time-series analysis. [D] . Shandilya, Sharad. 2013

机译：通过机器学习和动态时间序列分析评估和预测心脏骤停期间的心血管状况。
6. Time series analysis as input for clinical predictive modeling: Modeling cardiac arrest in a pediatric ICU [O] . Curtis E Kennedy, James P Turley 2011

机译：时间序列分析作为临床预测建模的输入：在儿科ICU中建模心脏骤停
7. Using Time Series Analysis to Predict Cardiac Arrest in a PICU [O] . Curtis E. Kennedy, Noriaki Aoki, Michele Mariscalco, 2015

机译：使用时间序列分析来预测PICU中的心脏骤停

Using Time Series Analysis to Predict Cardiac Arrest in a PICU

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