Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease

Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD) and is associated with increased morbidity and mortality in patients with diabetes. Identification of risk factors involved in the progression of DKD to ESRD is expected to result in early detection and appropri...

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Vydáno v:	Renal failure Ročník 44; číslo 1; s. 562 - 570
Hlavní autoři:	Zou, Yutong, Zhao, Lijun, Zhang, Junlin, Wang, Yiting, Wu, Yucheng, Ren, Honghong, Wang, Tingli, Zhang, Rui, Wang, Jiali, Zhao, Yuancheng, Qin, Chunmei, Xu, Huan, Li, Lin, Chai, Zhonglin, Cooper, Mark E., Tong, Nanwei, Liu, Fang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Taylor & Francis 01.12.2022 Taylor & Francis Ltd Taylor & Francis Group
Témata:	Algorithms Biopsy Blood glucose Clinical Study Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - pathology diabetic kidney disease Diabetic Nephropathies - diagnosis Diabetic Nephropathies - etiology Diabetic Nephropathies - metabolism End-stage renal disease Glomerular filtration rate Hemoglobin Humans Kidney diseases Kidney Failure, Chronic - diagnosis Kidney Failure, Chronic - epidemiology Kidney Failure, Chronic - etiology Learning algorithms Machine Learning Morbidity Patients Prediction models Prognosis Proteinuria Risk factors risk prediction model Type 2 diabetes mellitus diabetic kidney disease risk prediction model Type 2 diabetes mellitus end-stage renal disease machine learning
ISSN:	0886-022X, 1525-6049, 1525-6049
On-line přístup:	Získat plný text
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