Liver Cirrhosis Prediction using Machine Learning Approaches

Author:

Hanif Ishtiaqe1,Khan Mohammad Monirujjaman1

Affiliation:

1. North South University,Department of Electrical and Computer Engineering,Dhaka,Bangladesh

Publisher

IEEE

Reference49 articles.

1. Fibrosis index based on 4 factors (fib 4) predicts liver cirrhosis and hepatocellular carcinoma in chronic Liver cirrhosis virus (LD) patients;li;Medical Science Monitor International Medical Journal of Experimental and Clinical Research,2019

2. Liver stiffness measurement by transient elastography can predict outcome after hepatic resection for Liver cirrhosis virus-induced hepatocellular carcinoma;hegazy;The Egyptian Journal of Surgery,2019

3. Noninvasive biomarkers predict improvement in liver fibrosis after successful generic DAAs based therapy of chronic hepatitis C in Egypt

4. Accurate Prediction of Advanced Liver Fibrosis Using the Decision Tree Learning Algorithm in Chronic Hepatitis C Egyptian Patients

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

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1. A Liver Cirrhosis Segmentation and Detection Using Modified Deep Learning Model;International Journal of Scientific Research in Science and Technology;2024-08-13

2. Machine Learning Based Liver Cirrhosis Detection Using Different Algorithm : A Review;International Journal of Scientific Research in Science and Technology;2024-07-13

3. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

4. Predictive Modeling for Cirrhosis Diagnosis: A Machine Learning Exploration;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

5. Enhancing Cirrhosis Prognosis Prediction with Optimized Ensemble Machine Learning Model;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

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