从未迷惑 发表于 2025-3-21 19:37:20
书目名称Innovative Systems for Intelligent Health Informatics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0467500<br><br> <br><br>书目名称Innovative Systems for Intelligent Health Informatics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0467500<br><br> <br><br>Admonish 发表于 2025-3-21 23:22:42
Innovative Systems for Intelligent Health Informatics978-3-030-70713-2Series ISSN 2367-4512 Series E-ISSN 2367-4520水汽 发表于 2025-3-22 02:54:13
Faisal Saeed,Fathey Mohammed,Abdulaziz Al-NahariFocuses on recent topics in data science, health informatics, intelligent systems, and smart computing.Includes the outcomes of the 5th International Conference of Reliable Information and Communicati清楚 发表于 2025-3-22 07:26:47
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Convolutional Neural Networks for Automatic Detection of Colon Adenocarcinoma Based on Histopathologures at different level in order to improve the accuracy and sensitivity of the classification. To compare the performance of the proposed model, Visual geometry Group (VGG16) model was prepared and trained on the same dataset. After training the two models we obtained an accuracy of 99.6%, 96.2% fo内向者 发表于 2025-3-22 17:49:38
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SMARTS D4D Application Module for Dietary Adherence Self-monitoring Among Hemodialysis Patients%), university medical centers (n = 6, 24%) and private hospital (n = 2, 8%), with ample experience managing hemodialysis patients. Majority of them rated the content (84%), and purpose of the app as a new nutrition education tool (84%) as the most appealing properties of the app, followed by the viFissure 发表于 2025-3-23 03:45:26
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