Predicting Chronic Kidney Disease Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

Predicting Chronic Kidney Disease Using Machine Learning Algorithms

Published:2023-03-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Farjana Afia¹,Liza Fatema Tabassum²,Pandit Partha Pratim³,Das Madhab Chandra⁴,Hasan Mahadi⁵,Tabassum Fariha⁶,Hossen Md. Helal⁷

Affiliation:

1. University of South Dakota Vermillion,Department of Computer Science,South Dakota,USA

2. Computer Science Florida State University Tallahassee,Florida,USA

3. Mechanical and Manufacturing Engineering Miami University,Oxford,Ohio,USA

4. Electrical and Electronic Engineering University of information and technology,Dhaka,Bangladesh

5. Data Analytics The University of Tennessee at Chattanooga,Chattanooga,Tennessee,USA

6. Western Michigan University,Department of Sociology,Kalamazoo,Michigan,USA

7. The University of Texas at,Department of Computer Science,Dallas,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099221.pdf?arnumber=10099221

Reference29 articles.

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3. In-Silico Approaches for Molecular Characterization and Structure-Based Functional Annotation of the Matrix Protein from Nipah henipavirus;Abu Saim Mohammad,2022

4. Health implication of vitamin D on the Heidarian, Esfandiar, and Ali Nouri. “Hepatoprotective effects of silymarin against dic1ofenac-induced liver toxicity in male rats based on biochemical parameters and histological study;Al-Ishaq;Archives of Physiology and Biochemistry,2021

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