Gastric cancer classification in saliva data samples using Levy search updated rainfall hybrid deep dual-stage BILSTM

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Experimental & Theoretical Artificial Intelligence Pub Date : 2024-01-12 DOI:10.1080/0952813x.2023.2301371

M. Kalimuthu, M. Ramya, S. Sreethar, N. Nandhagopal

引用次数: 0

Abstract

An innovative approach is needed for the early identification of GC (Gastric cancer) to improve the prediction of GC patients. This work presents a GC prediction system to identify GC depending on ...

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利用利维搜索更新降雨混合深度双级 BILSTM 对唾液数据样本中的胃癌进行分类

需要一种创新的方法来早期识别胃癌（GC），以改进对胃癌患者的预测。这项研究提出了一种胃癌预测系统，可根据胃癌患者的...

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来源期刊

Journal of Experimental & Theoretical Artificial Intelligence 工程技术-计算机：人工智能

CiteScore

6.10

自引率

4.50%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving