Examining The Risk Factors of Liver Disease: A Machine Learning Approach
Author:
Affiliation:
1. Institut Teknologi Sepuluh Nopember,Dept. of Informatics Engineering,Surabaya,Indonesia
2. Daffodil International University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835710/9835716/09835732.pdf?arnumber=9835732
Cited by 5 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. A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and Algorithmic Performance;International Journal of Intelligent Systems;2024-01
2. Performance Comparison of Machine Learning and Deep Learning Algorithms for Liver Disease Detection;Lecture Notes in Electrical Engineering;2023-12-16
3. Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis;International Journal of Medical Informatics;2023-11
4. Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
5. A BrainNet (BrN) based New Approach to Classify Brain Stroke from CT Scan Images;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05
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