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Prediction of Renal Damage in Children with Henoch-Schönlein Purpura Based on Machine Learning

2022-01-07

Abstract excerpt

<h4>Background: </h4> This article is objected to explore the value of machine learning algorithm in predicting the risk of renal damage in children with Henoch-Schönlein Purpura, and to construct a predictive model of Henoch-Schönlein Purpura Nephritis in children and analyze the related risk factors of Henoch-Schönlein Purpura Nephritis in children. Methods Case data of 288 hospitalized children with Henoch-Sch...

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Literature Corpus work
9b331849-d92e-5d84-9677-b4b97715b7d2
DOI
10.21203/rs.3.rs-1202084/v1
Open publication

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Prediction of Renal Damage in Children with Henoch-Schönlein Purpura Based on Machine LearningDOI 10.21203/rs.3.rs-1202084/v1
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