M. Kalimuthu, M. Ramya, S. Sreethar, N. Nandhagopal
{"title":"Gastric cancer classification in saliva data samples using Levy search updated rainfall hybrid deep dual-stage BILSTM","authors":"M. Kalimuthu, M. Ramya, S. Sreethar, N. Nandhagopal","doi":"10.1080/0952813x.2023.2301371","DOIUrl":null,"url":null,"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 ...","PeriodicalId":15677,"journal":{"name":"Journal of Experimental & Theoretical Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental & Theoretical Artificial Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/0952813x.2023.2301371","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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 ...
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
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
