Predictability of postoperative recurrence on hepatocellular carcinoma through data mining method-Reference-Cited by-同舟云学术

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Predictability of postoperative recurrence on hepatocellular carcinoma through data mining method

Published:2020-08-14 Issue:5 Volume:13 Page:1-1
ISSN:2049-9450
Container-title:Molecular and Clinical Oncology
language:
Short-container-title:Mol Clin Oncol

Author:

Iwahashi Shuichi¹,Ghaibeh A. Ammar²,Shimada Mitsuo¹,Morine Yuji¹,Imura Satoru¹,Ikemoto Tetsuya¹,Saito Yu¹,Hirose Jun²

Affiliation:

1. Department of Surgery, Institute of Health Biosciences, The University of Tokushima, Kuramoto‑cho, Tokushima 770‑8503, Japan

2. Department of Medical Informatics, Institute of Health Biosciences, The University of Tokushima, Kuramoto‑cho, Tokushima 770‑8503, Japan

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology

Cited by 4 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. Artificial intelligence in liver cancer;Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases;2023

2. Artificial intelligence in the diagnosis and management of hepatocellular carcinoma;Journal of Gastroenterology and Hepatology;2021-03

3. Artificial intelligence method to predict overall survival of hepatocellular carcinoma;Hepatology Forum;2021

4. Research and Implementation of Anomaly Detection Algorithm in Data Mining;Lecture Notes in Computer Science;2021

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