STH
发表于 2025-3-21 19:26:04
书目名称Next Generation Healthcare Informatics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0666196<br><br> <br><br>书目名称Next Generation Healthcare Informatics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0666196<br><br> <br><br>
Priapism
发表于 2025-3-21 20:23:49
Next Generation Healthcare Informatics978-981-19-2416-3Series ISSN 1860-949X Series E-ISSN 1860-9503
Intrepid
发表于 2025-3-22 02:58:33
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Cacophonous
发表于 2025-3-22 05:19:07
https://doi.org/10.1007/978-981-19-2416-3Computational Intelligence; Deep Learning; Machine Learning; Healthcare Informatics; Artificial Intellig
tariff
发表于 2025-3-22 09:12:22
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CRAMP
发表于 2025-3-22 13:01:31
Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-GeneratiIntelligent medical systems can easily diagnose the disease predictions that real physicians may overlook by establishing a connection between the disease and the symptoms. These developments have created the need for new hardware and software technologies to process of big data in medical science.
START
发表于 2025-3-22 20:25:25
Deep Learning in Healthcare: Applications, Challenges, and Opportunities,mation. In current biomedical research, numerous types of data have emerged, such as imaging, electronic health records, text, and sensor data, all of which are complicated, diverse, inadequately annotated, and usually unstructured. Statistical learning and traditional data mining techniques often n
Hemiparesis
发表于 2025-3-22 23:25:08
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Charitable
发表于 2025-3-23 04:56:36
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整顿
发表于 2025-3-23 05:43:39
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