首页|Bengbu Medical University Reports Findings in Diabetic Nephropathy (Integrated m achine learning and deep learning for predicting diabetic nephropathy model cons truction, validation, and interpretability)
Bengbu Medical University Reports Findings in Diabetic Nephropathy (Integrated m achine learning and deep learning for predicting diabetic nephropathy model cons truction, validation, and interpretability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Kidney Diseases and Co nditions - Diabetic Nephropathy is the subject of a report. According to news re porting from Bengbu, People's Republic of China, by NewsRx journalists, research stated, "To construct a risk prediction model for assisted diagnosis of Diabeti c Nephropathy (DN) using machine learning algorithms, and to validate it interna lly and externally. Firstly, the data was cleaned and enhanced, and was divided into training and test sets according to the 7:3 ratio." The news correspondents obtained a quote from the research from Bengbu Medical U niversity, "Then, the metrics related to DN were filtered by difference analysis , Least Absolute Shrinkage and Selection Operator (LASSO), Recursive Feature Eli mination (RFE), and Max-relevance and Min-redundancy (MRMR) algorithms. Ten mach ine learning models were constructed based on the key variables. The best model was filtered by Receiver Operating Characteristic (ROC), Precision-Recall (PR), Accuracy, Matthews Correlation Coefficient (MCC), and Kappa, and was internally and externally validated. Based on the best model, an online platform had been c onstructed. 15 key variables were selected, and among the 10 machine learning mo dels, the Random Forest model achieved the best predictive performance. In the t est set, the area under the ROC curve was 0.912, and in two external validation cohorts, the area under the ROC curve was 0.828 and 0.863, indicating excellent predictive and generalization abilities."
BengbuPeople's Republic of ChinaAsiaCyborgsDiabetes ComplicationsDiabetes MellitusDiabetic NephropathyEmer ging TechnologiesHealth and MedicineKidney Diseases and ConditionsMachine LearningNephrologyNephropathyNutritional and Metabolic Diseases and Condit ions
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