Predictive analysis on severity of Non-Alcoholic Fatty Liver Disease (NAFLD) using Machine Learning Algorithms

Author:

Aslam Muhamamd Haseeb1,Hussain Syed Fawad1,Ali Raja Hashim2

Affiliation:

1. GIK Institute of Engg. Sciences & Tech.,MDS Lab, Faculty of Computer Science & Engg.,Khyber Pakhtunkhwa,Pakistan

2. GIK Institute of Engg. Sciences & Tech.,AI Research Lab, Faculty of Computer Science & Engg.,Khyber Pakhtunkhwa,Pakistan

Publisher

IEEE

Cited by 30 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. Machine Learning Applications in Early Detection of Hepatic Steatosis Disease;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

2. Predictive Modeling for Mortality Risk in Nonalcoholic Fatty Liver Disease Patients: A Machine Learning Approach;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

3. A Novel and Robust Fatty Liver Recognition Method Based on Hybrid Generative Adversarial Networks on Ultrasound Images;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. Robust and Reliable Liveness Detection Models for Facial Recognition Systems;2023 International Conference on Frontiers of Information Technology (FIT);2023-12-11

5. Performance Evaluation of Popular Deep Neural Networks for Neural Machine Translation;2023 International Conference on Frontiers of Information Technology (FIT);2023-12-11

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