Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease-Reference-Cited by-同舟云学术

Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease

Published:2022-09 Issue: Volume:9 Page:100330
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Hossain Muhammad Minoar^ORCID,Swarna Reshma Ahmed,Mostafiz Rafid,Shaha Pabon,Pinky Lubna Yasmin,Rahman Mohammad Motiur,Rahman Wahidur^ORCID,Hossain Md. Selim,Hossain Md. Elias,Iqbal Md. Sadiq

Publisher

Elsevier BV

Subject

General Medicine

Reference23 articles.

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3. Xgboost: extreme gradient boosting;Chen;R Package Version 0.4-2,2015

4. Prediction of chronic kidney disease-a machine learning perspective;Chittora;IEEE Access,2021

5. Retrieved from centers for disease control and prevention;Chronic Kidney Disease in the United States, 2021,2021

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