Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection-Reference-Cited by-同舟云学术

Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection

Published:2020-09-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Symposium on Artificial Intelligence in Medical Sciences
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Author:

Xu Hongxia¹,Kong Yonghui²,Tan Shaofeng³

Affiliation:

1. Beijing University of Technology and Engineering Research Center of Digital Community, Ministry of Education. Beijing, China

2. Beijing University of Technology, Beijing, China

3. Information Center, Beijing Pinggu Hospital, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3429889.3429894

Reference15 articles.

1. edition);Chinese Diabetes Society Special Issue Standards of care for type2 diabetes In China (;Chinese Journal of Practical Internal Medicine,2017

2. Relationship between BNP level and renal function in diabetic nephropathy with microalbuminuria

3. Nonalbumin proteinuria is a simple and practical predictor of the progression of early-stage type 2 diabetic nephropathy

4. Comparison of Classifiers for the Risk of Diabetes Prediction

5. Diabetic Nephropathy: New Risk Factors and Improvements in Diagnosis

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