Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

Saria Suchi; Henry Katharine E.

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Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

机译：SEPSIS的太多定义：机器学习可以利用电子健康记录来提高准确性并带来共识吗？

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来源
《Critical care medicine 》 |2020年第2期| 共5页
作者
Saria Suchi; Henry Katharine E.;
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作者单位

Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA;

Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA;

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原文格式 PDF
正文语种 eng
中图分类护理学 ;
关键词
electronic data processing; electronic health records; informatics; machine learning; sepsis; severe sepsis;

机译：电子数据处理;电子健康记录;信息学;机器学习;败血症;严重的败血症;

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1. Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus? [J] . Saria Suchi, Henry Katharine E. Critical care medicine . 2020 ,第2期

机译：SEPSIS的太多定义：机器学习可以利用电子健康记录来提高准确性并带来共识吗？
2. Leveraging Electronic Health Records and Machine Learning to Tailor Nursing Care for Patients at High Risk for Readmissions [J] . Heather Brom, J. Margo Brooks Carthon, Uchechukwu Ikeaba, Journal of nursing care quality . 2020 ,第1期

机译：利用电子健康记录和机器学习，为高风险患者定制护理护理
3. Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research [J] . Victor E. Staartjes, Martin N. Stienen Neurospine. . 2019 ,第4期

机译：脊柱外科的数据挖掘：利用电子健康记录进行机器学习和临床研究
4. WHAT’S IN A DEFINITION? A SIMULATION FRAMEWORK FOR MODELING SEPSIS INTERVENTIONS USING ELECTRONIC HEALTH RECORDS [C] . Nisha Nataraj, Julie S. Ivy, Jeanne Huddleston, Winter Simulation Conference . 2018

机译：定义是什么？使用电子健康记录建模脓毒症干预措施的模拟框架
5. Searching for Phenotypes of Sepsis: An Application of Machine Learning to Electronic Health Records [D] . Boyle, Michael Jarvis 2019

机译：寻找败血症的表型：机器学习对电子健康记录的应用
6. Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research [O] . Victor E. Staartjes, Martin N. Stienen 2019

机译：脊柱外科手术中的数据挖掘：利用电子健康记录进行机器学习和临床研究
7. Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data [O] . Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, 2019

机译：使用易于可用的电子健康记录数据的新生儿重症监护室中早期败血症识别的机器学习模型

Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

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