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Reseach Article

A Review of Data-Driven Liver Disease Risk Prediction through Machine Learning Algorithms

by Riya, Barinderjit Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 33
Year of Publication: 2023
Authors: Riya, Barinderjit Kaur
10.5120/ijca2023922960

Riya, Barinderjit Kaur . A Review of Data-Driven Liver Disease Risk Prediction through Machine Learning Algorithms. International Journal of Computer Applications. 185, 33 ( Sep 2023), 6-8. DOI=10.5120/ijca2023922960

@article{ 10.5120/ijca2023922960,
author = { Riya, Barinderjit Kaur },
title = { A Review of Data-Driven Liver Disease Risk Prediction through Machine Learning Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2023 },
volume = { 185 },
number = { 33 },
month = { Sep },
year = { 2023 },
issn = { 0975-8887 },
pages = { 6-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number33/32900-2023922960/ },
doi = { 10.5120/ijca2023922960 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:39.196528+05:30
%A Riya
%A Barinderjit Kaur
%T A Review of Data-Driven Liver Disease Risk Prediction through Machine Learning Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 33
%P 6-8
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Millions of individuals throughout the world suffer from liver disease, which is a major health issue. Early diagnosis and treatment of liver illness can significantly enhance health outcomes and lower medical expenses. Healthcare providers in underdeveloped nations might find this strategy very helpful. A hybrid technique has been introduced to accurately diagnose liver disease. Scalability and prediction have been computed. A new patient's data was used as input, and it was discovered that the model produced good accuracy for detecting livers. In the final section of this work, we conclude that the hybrid strategy is preferable after thoroughly analyzing the available data.

References
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  12. Stage of liver disease collected from dreamstime.com.
Index Terms

Computer Science
Information Sciences

Keywords

Hybrid Approach Liver Disease Hybrid Approach Scalability Lifestyle Hepatitis.