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Yakup Ülger & Anıl Delik. (2023) Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks. Nucleosides, Nucleotides & Nucleic Acids 42:5, pages 398-406.
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Articles from other publishers (6)
Yixin Hou, Hao Yu, Qun Zhang, Yuying Yang, Xiaoli Liu, Xianbo Wang & Yuyong Jiang. (2023) Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients. Diagnostic Pathology 18:1.
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Dillip Kumar Bishi, Priyadarshini Padhi, Chhabi Rani Panigrahi, Bibudhendu Pati & Chandi Charan Rath. 2023. Computational Intelligence in Cancer Diagnosis. Computational Intelligence in Cancer Diagnosis
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Min Chen, Guang-Bo Wu, Zhi-Wen Xie, Dan-Li Shi & Meng Luo. (2022) A novel diagnostic four-gene signature for hepatocellular carcinoma based on artificial neural network: Development, validation, and drug screening. Frontiers in Genetics 13.
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Xiaoqin Lai, Wenfa Chen, Yuzhu Wu, Yali Gao, Yalan Zhang, Xuwei Xu, Ya Fu, Xinwen Wang, Yanbing Yang & Yin Zhang. (2022)
Effect of mutations across reverse transcriptase region on
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Rong-yun Mai, Jie Zeng, Wei-da Meng, Hua-ze Lu, Rong Liang, Yan Lin, Guo-bin Wu, Le-qun Li, Liang Ma, Jia-zhou Ye & Tao Bai. (2021) Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion. BMC Cancer 21:1.
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Rukayya Umar, Steve Adeshina & Moussa mahamat Boukar. (2021) Performance Evaluation of Machine Learning Approach for hepatitis Classification with genetic Algorithm feature Selection. Performance Evaluation of Machine Learning Approach for hepatitis Classification with genetic Algorithm feature Selection.