Comprehensive Study of Liver Disease Prediction using Machine Learning-Reference-Cited by-同舟云学术

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Comprehensive Study of Liver Disease Prediction using Machine Learning

Published:2023-12-28 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2023 1st International Conference on Health Science and Technology (ICHST)
language:
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Author:

Hoang Vu-An¹,Nguyen Duy-Tung²,Bui Hanh-Trang¹,Le Vu-Khanh-An³,Le Thi-Lan¹,Vu Duy-Hai¹,Tran Binh-Giang⁴,Pham Gia-Anh³,Luu Hung N.⁵,Tran Thanh-Hai¹,Vu Hai¹

Affiliation:

1. School of Electrical and Electronic Engineering, Hanoi University of Science and Technology,Hanoi,Vietnam

2. School of Information Technology, Hanoi University of Science and Technology,Hanoi,Vietnam

3. Viet-Due University Hospital,Department of Surgical Oncology,Hanoi,Vietnam

4. Viet-Duc University Hospital,Emergency Abdominal Surgery Department,Hanoi,Vietnam

5. Graduate School of Public Health, University of Pittsburgh,Department of Epidemiology,Pittsburgh,Pennsylvania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10565304/10565305/10565322.pdf?arnumber=10565322

Reference20 articles.

1. Global burden of liver disease: 2023 update

2. Liver disease prediction using svm and naive bayes algorithms;Vijayarani;International Journal of Science, Engineering and Technology Research (IJSETR),2015

3. Application of machine learning methods to predict non-alcoholic steatohepatitis (nash) in non-alcoholic fatty liver (nafl) patients;Fialoke

4. A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

5. Prediction of fatty liver disease using machine learning algorithms

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