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Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing

机译：通过自动化机器学习平台和护理点测试提高军用烧伤和创伤与创伤相关的急性肾损伤

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Hooman H. Rashidi; Amy Makley; Tina L. Palmieri; Samer Albahra; Julia Loegering; Lei Fang; Kensuke Yamaguchi; Travis Gerlach; Dario Rodriquez; Nam K. Tran;
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1. Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques [J] . Hooman H. Rashidi, Soman Sen, Tina L. Palmieri, Scientific reports. . 2020,第1期

机译：燃烧和创伤与创伤相关急性肾损伤的早期识别：机器学习技术的试验比较
2. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study [J] . Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, PLoS Medicine . 2018,第11期

机译：使用机器学习技术增强经皮冠状动脉介入治疗后急性肾损伤风险的预测：一项回顾性队列研究
3. Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients [J] . Cheng Qu, Lin Gao, Xian-qiang Yu, Gastroenterology research and practice . 2020,第3期

机译：急性胰腺炎急性肾损伤预测机器学习模型
4. Review of Acute Kidney Injury Classification Using Machine Learning [C] . Norliyana Nor Hisham Shah, Normy Razak, Asma Abu-Samah, IEEE-EMBS Conference on Biomedical Engineering and Sciences . 2021

机译：采用机器学习审查急性肾脏损伤分类
5. Predicting Risk for Acute Kidney Injury in the Outpatient Setting: A Continuous Risk Prediction Equation and Two Binary Tests for Identifying High-Risk Patients [D] . Murphy, Daniel Patrick. 2021

机译：预测门诊环境中急性肾损伤的风险：识别高风险患者的连续风险预测方程和两个二元试验
6. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study [O] . Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, 2018

机译：使用机器学习技术增强经皮冠状动脉介入治疗后急性肾损伤风险的预测：一项回顾性队列研究
7. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study [O] . Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, 2018

机译：使用机器学习技术在经皮冠状动脉干预后提高急性肾损伤风险的预测：回顾性队列研究

Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing

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