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Titlebook: Knowledge Representation for Health Care; HEC 2016 Internation David Ria?o,Richard Lenz,Manfred Reichert Conference proceedings 2017 Spring

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書(shū)目名稱Knowledge Representation for Health Care
副標(biāo)題HEC 2016 Internation
編輯David Ria?o,Richard Lenz,Manfred Reichert
視頻videohttp://file.papertrans.cn/545/544029/544029.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Knowledge Representation for Health Care; HEC 2016 Internation David Ria?o,Richard Lenz,Manfred Reichert Conference proceedings 2017 Spring
描述This book constitutes the refereed proceedings of two workshops held at the International Conference on Health – Exploring Complexity and Medical Informatics Europe, HEC 2016, held in Munich, Germany, in September 2016: the 8th International Workshop on Knowledge Representation for Health Care, KR4HC 2016, and the 9th International Workshop on Process-oriented Information Systems in Healthcare, ProHealth 2016...The 8 revised full papers were carefully reviewed and selected from 12 submissions. The papers are organized in topical sections on ontologies in health care; clinical quality, evaluation, and simulation; computer guidelines engineering and usage; and comorbidity and clinical process management..
出版日期Conference proceedings 2017
關(guān)鍵詞Artificial intelligence; Decision support systems; Information retrieval; Social networks; Bioinformatic
版次1
doihttps://doi.org/10.1007/978-3-319-55014-5
isbn_softcover978-3-319-55013-8
isbn_ebook978-3-319-55014-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Simulation-Based Episodes of Care Data Synthetization for Chronic Disease Patientser to check standard’s compliance, improve protocols, or perform quality and cost studies. In these EoC, data related to the patient condition and treatment are registered along the different encounters between the patient and the health care professionals. However, EoC data analysis is subject to s
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Generating Conflict-Free Treatments for Patients with Comorbidity Using Answer Set Programming An approach that can automatically repair such inconsistencies and generate conflict-free combined treatments is thus a valuable aid for clinicians. In this paper we propose an answer set programming based method that detects and repairs conflicts between treatments. The answer sets of the program
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ned the term “poly-crisis”. ?The concrete course of the management of the euro crisis represents a kind of turning point for German European policy.?Germany’s handling of the Euro crisis?had a lasting impact on and changed the reputation of?Germany’s role in European policy.?In the Euro-rescue?proce
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