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Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies

机译：基于组LASSO回归的贝叶斯网络在血液系统恶性肿瘤住院急性肾损伤的危险因素探索和疾病预测中的应用

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Associated factors of AKI in patients with hematologic malignancies

机译：血液系统恶性肿瘤患者AKI的相关因素

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期刊名称 BMC Nephrology
作者
Yang Li; Xiaohong Chen; Yimei Wang; Jiachang Hu; Ziyan Shen; Xiaoqiang Ding;
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作者单位

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年(卷),期 2020(21),-1
年度 2020
页码 -1
总页数 11
原文格式 PDF
正文语种
中图分类泌尿科学（泌尿生殖系疾病）;小儿泌尿科学;肾疾病;
关键词
Acute kidney injury; Hematologic malignancy; Bayesian networks; Disease prediction; Clinical epidemiology;

机译：急性肾损伤;血液系统恶性;贝叶斯网络;疾病预测;临床流行病学;

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专利

1. Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies [J] . Yang Li, Xiaohong Chen, Yimei Wang, BMC Nephrology . 2020,第1期

机译：基于卢斯回归的贝叶斯网络在危险因素危险因素中的应用血液学恶性肿瘤住院患者急性肾损伤的探讨预测
2. Acute and chronic kidney disease in elderly patients with hip fracture: prevalence, risk factors and outcome with development and validation of a risk prediction model for acute kidney injury [J] . Christine J. Porter, Iain K. Moppett, Irene Juurlink, BMC Nephrology . 2017,第1期

机译：老年髋部骨折患者的急性和慢性肾脏疾病：患病率，危险因素和预后以及急性肾损伤风险预测模型的开发和验证
3. Study on Influence Factors of Pressure Injury Risk in the Elderly Inpatients with Kidney Disease Based on LASSO Regression [J] . Ling Liu, Chunhua Wang, Lianghong Yin, Advances in Biological Chemistry . 2020,第6期

机译：基于套索回归的肾病老年住院患者压力损伤风险影响因素研究
4. Assessments of urine cofilin-1 in patients hospitalized in the intensive care units with acute kidney injury [C] . Yi-Jang Lee, Cheng-Han Chao, Ying-Feng Chang, Biophotonics and immune responses VIII . 2013

机译：重症监护病房急性肾损伤住院患者尿液cofilin-1的评估
5. Acute Kidney Injury and Recovery Predictions of Hospitalized Patients with COVID-19 [D] . Annadi, Raji Reddy. 2021

机译：Covid-19住院患者的急性肾脏损伤和恢复预测
6. Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms [O] . Yunlu Zhang, Yimei Wang, Jiarui Xu, 2021

机译：基于XGBoost和套索逻辑算法的肝胆恶性肿瘤患者急性肾损伤预测模型的比较
7. Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies [O] . Yang Li, Xiaohong Chen, Yimei Wang, 2019

机译：基于卢斯回归的贝叶斯网络在危险因素危险因素中的应用血液学恶性肿瘤住院患者急性肾损伤的探讨预测

Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with hematologic malignancies

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