A Dual Dataset approach for the diagnosis of Hepatitis C Virus using Machine Learning-Reference-Cited by-同舟云学术

A Dual Dataset approach for the diagnosis of Hepatitis C Virus using Machine Learning

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
language:
Short-container-title:

Author:

Singh Utkrisht¹,Gourisaria Mahendra Kumar¹,Mishra Brojo Kishore¹

Affiliation:

1. KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,Odisha,751024

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9865098/9865099/09865758.pdf?arnumber=9865758

Reference24 articles.

1. Maize Leaf Disease Detection and Classification Using Machine Learning Algorithms

2. Performance of machine learning approaches on prediction of esophageal varices for Egyptian chronic hepatitis C patients

3. Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients

4. 450 A NOVEL PREDICTION MODEL FOR LIVER FIBROSIS IN PATIENTS WITH CHRONIC HEPATITIS C VIRUS USING FIBROSCAN AND ROUTINE LABORATORY DATA

5. An analysis of hepatitis C virus prediction using different data mining techniques;radwan;International Journal of Computer Science and Information Technology,2013

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data;Biomedical Materials & Devices;2024-06-05

2. Unveiling Machine Learning Paradigms for Robust Malware Detection in Personal Data Security;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

3. Machine Learning in Healthcare Analytics: A State-of-the-Art Review;Archives of Computational Methods in Engineering;2024-04-04

4. Guardians of Credit: "A Comprehensive Analysis of Machine Learning Models for Credit Risk Detection";2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

5. Using Artificial Intelligence Methods for Detection of HCV-Caused Diseases;Journal of Engineering Technology and Applied Sciences;2023-04-30