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Titlebook: Artificial Intelligence in Medicine; 5th Conference on Ar Pedro Barahona,Mario Stefanelli,Jeremy Wyatt Conference proceedings 1995 Springer

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发表于 2025-3-21 19:36:19 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence in Medicine
期刊简称5th Conference on Ar
影响因子2023Pedro Barahona,Mario Stefanelli,Jeremy Wyatt
视频videohttp://file.papertrans.cn/163/162500/162500.mp4
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence in Medicine; 5th Conference on Ar Pedro Barahona,Mario Stefanelli,Jeremy Wyatt Conference proceedings 1995 Springer
影响因子This volume presents the proceedings of the 5th Conference on Artificial Intelligence in Medicine Europe, AIME ‘95, held in Pavia, Italy in June 1995..The volume contains 32 full refereed selected papers contributed by researchers and professionals coming from computer science departments, medical informatics departments, and hospitals; in addition there are the keynote address and 28 poster presentations. The volume is organized in topical sections on medical records, temporal reasoning and simulation, probabilistic models, patient management and therapy planning, evaluation of knowledge-based systems, diagnostic support systems, models for clinical information systems, and neural networks and image interpretation.
Pindex Conference proceedings 1995
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chronology
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构成
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Venules
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Christos Capellos,Raymond F. Walkertically two information-content measures for reducing the number of questions asked. We have applied this strategy to an existing history-taking system and some preliminary results seem to confirm our initial intuitions.
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Evgeny Zhuravlev,Christoph Schickin, thereby reducing the calculation time by several orders of magnitude compared to using Hugin alone. The application of the dynamic propagation in a Diabetes Advisory System, DIAS, for giving advise on insulin dose adjustment in insulin dependent diabetes mellitus, is described as an example.
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Iniquitous
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Modeling medical reasoning with the Event Calculus: an application to the management of mechanical s in intelligent medical monitoring systems. In particular, we explore the application of CEC to the management of mechanical ventilation, using it to interpret change in data over time, assess patient status and its evolution, and choose the proper level of mechanical assistance.
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A general framework for building patient monitoring systems, that can be used to assess the patient clinical evolution in various medical domains. The framework is integrated into a clinical workstation providing several tools designed to assist the clinical staff in the management of the patients records and in the definition of the domain-specific knowledge.
aptitude
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