开脱
发表于 2025-3-21 18:07:20
书目名称Knowledge Representation for Health-Care影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0544033<br><br> <br><br>书目名称Knowledge Representation for Health-Care读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0544033<br><br> <br><br>
轻率的你
发表于 2025-3-21 23:22:51
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/544033.jpg
Dysplasia
发表于 2025-3-22 00:52:09
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雄辩
发表于 2025-3-22 08:31:25
Knowledge Representation for Health-Care978-3-642-18050-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
dysphagia
发表于 2025-3-22 10:49:15
0302-9743 in Lisbon, Portugal, in August 2010. The 11 extended papers presented were carefully reviewed and selected from 19 submissions. The papers cover topics like ontologies, patient data, records, and guidelines, and clinical practice guidelines.978-3-642-18049-1978-3-642-18050-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
Ardent
发表于 2025-3-22 14:23:06
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archenemy
发表于 2025-3-22 19:30:38
https://doi.org/10.1007/978-3-642-18050-7cluster analysis; data mining; digital libraries; health care; health records; information systems; intero
ironic
发表于 2025-3-22 21:36:34
Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learninge experiments we have gained much insight into the problem of knowledge representation and concluded that structure learning results can be conceptually clear and of help in designing a Bayesian network for medical image interpretation.
原告
发表于 2025-3-23 01:23:23
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Odyssey
发表于 2025-3-23 06:25:32
Cristina Romero-Tris,David Riaño,Francis Realed in the previous century to contain democratic unrest. This time, the idea was to undercut any possible appeal of the model taking shape in East Germany. The disadvantage of the system, however, was that it ran the risk of muting signals from the market and encouraging complacency.