Data-Driven Identification of High-Risk Patients for CKD-Machine Learning Perspective-Reference-Cited by-同舟云学术

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Data-Driven Identification of High-Risk Patients for CKD-Machine Learning Perspective

Published:2023-10-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Fatima Tabeen¹,Purushotham N.²,Tarannum Bushra³,Unnisa Raheem¹,Madhavi K Reddy⁴,Krishna R Sai¹,Kumar Voruganti Naresh¹

Affiliation:

1. CMR Technical Campus,Department of CSE,Hyderabad,Telangana,India

2. School of Computing, Mohan Babu University,Department of CSE,Tirupati,Andhra Pradesh,India

3. CMR Technical Campus,Department of CSE(AI&ML),Hyderabad,Telangana,India

4. School of Computing, Mohan Babu University,Tirupati,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346237/10346217/10346934.pdf?arnumber=10346934

Reference11 articles.

1. Diagnosis of patients with chronic kidney disease by using two fuzzy classifiers

2. Prevalence of chronic kidney disease in China: a cross-sectional survey

3. Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

4. Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods

5. A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis

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1. A study of the visualization of artificial intelligence applications in chronic kidney disease in the literature over the last 20 years;2024-07-11

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