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ILIAD: An Expert System for Diagnostic Assistance and Teaching: Implementation in France 伊利亚特:诊断辅助和教学专家系统:在法国的实施
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_112
É. Lepage, O. Bouhaddou, J. Trédaniel, O. Chassany, H. Warner, H. Warner
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引用次数: 2
Asymptotic Variance Estimation of Association Measures: A New Approach to Overcome Computational Problems 关联测度的渐近方差估计:一种克服计算问题的新方法
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_177
O. Gefeller, F. Woltering
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引用次数: 0
Clinical Assessment of a Computer System for Insulin Dosage Adjustment 胰岛素剂量调整计算机系统的临床评价
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_67
E. Lehmann, A. Roudsari, T. Deutsch, E. Carson, J. Benn, P. Sönksen
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引用次数: 11
Ten Years of Computer Support in a Metabolic Intensive Care Unit 代谢重症监护病房的十年计算机支持
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_166
S. Svacina, R. Hovorka, T. Haas, Z. Masek, J. Kabrt
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引用次数: 0
UnPatient: A Knowledge Base for Medical Diagnostic Expert Systems 非病人:医学诊断专家系统的知识库
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_51
C. Stary, Karl Fasching
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引用次数: 1
Computer-Aided Cluster Analysis of Citation Networks as a Tool of Research Policy in Biomedicine 引用网络的计算机辅助聚类分析作为生物医学研究政策的工具
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_164
S. G. Burchinsky, Y. Duplenko
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引用次数: 0
Artificial Intelligence in Contact Dermatitis: The Codex/E System 接触性皮炎中的人工智能:Codex/E系统
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_169
A. Dooms-Goossens, M. Dooms, J. Drieghe, H. Degreef
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引用次数: 0
A Communicable Disease Query Engine 传染病查询引擎
Pub Date : 1900-01-01 DOI: 10.3233/978-1-61499-512-8-1012
J. G. Bellika, Luis Marco-Ruiz, R. Wynn
Based on daily updated data about communicable diseases in the municipalities of Nordland, Troms and Finnmark counties in Northern Norway, we have implemented a prototype of a disease query engine (DQE), that match symptom sets (the query vector) to diseases (the disease vectors), aimed at helping the general public to find reliable information about likely communicable diseases. The motivation for doing so is to enable an increasing degree of self-help and empower people to have appropriate health service utilization. The disease query engine prototype is available at http://www.erdusyk.no. The service was constructed based on the following components; a GUI for users to specify their symptoms, a daily updated epidemiology model containing disease probabilities, a DQE, and a user interface for receiving recommendations of relevant self-help pages. The probability of a disease, given a symptom set is estimated using a multi-dimensional symptom vector space to estimate P( disease | symptom-set ). This is combined with the novel epidemiology model ( P(disease) ) for the geographical areas covered by the system. The output of the service is a list of likely diseases sorted by estimated likelihood. This sorted list of diseases is combined with quality assured selfhelp pages. To validate the accuracy of the recommendations we combine the recommendations with the tentative diagnoses from general practitioners and results from microbiology tests. We are extracting data to generate the disease probabilities in the epidemiology model from microbiology laboratories covering a population of approximately 470.000, that enables us to provide self-help resources for the population. We are currently collecting data to validate the accuracy of the disease query engine recommendations against tentative diagnoses and laboratory tests provided by the health service. Symptoms information models have been modelled in a multidisciplinary team of clinicians and information architects. The validation of accuracy of the recommendations is a necessary step towards a potential reduction in health service consumption. The hypothesis is that increased competence among patients will enable appropriate health service consumption. An important part in achieving appropriate health service consumption is the quality of the self-help resources linked to by the service, avoiding situation where unnecessary fear of dangerous diseases generates inappropriate health service consumption.
根据挪威北部的Nordland、Troms和Finnmark三个县每天更新的传染病数据,我们实现了一个疾病查询引擎(DQE)的原型,将症状集(查询媒介)与疾病(疾病媒介)相匹配,旨在帮助公众找到有关可能的传染病的可靠信息。这样做的动机是使人们能够越来越多地自助,并使人们能够适当地利用保健服务。疾病查询引擎的原型可以在http://www.erdusyk.no上找到。该服务是基于以下组件构建的:用于用户指定其症状的GUI、包含疾病概率的每日更新的流行病学模型、DQE和用于接收相关自助页面推荐的用户界面。在给定症状集的情况下,使用多维症状向量空间估计P(疾病|症状集)来估计疾病的概率。这与该系统所覆盖的地理区域的新型流行病学模型(P(疾病))相结合。该服务的输出是按估计可能性排序的可能疾病列表。这个分类的疾病列表与质量保证的自助页面相结合。为了验证建议的准确性,我们将建议与全科医生的初步诊断和微生物学测试结果结合起来。我们正在从微生物实验室提取数据,以生成流行病学模型中的疾病概率,这些数据覆盖了大约47万人口,使我们能够为人口提供自助资源。我们目前正在收集数据,以验证疾病查询引擎建议与卫生服务部门提供的初步诊断和实验室测试的准确性。由临床医生和信息架构师组成的多学科团队对症状信息模型进行了建模。验证建议的准确性是可能减少卫生服务消费的必要步骤。假设是,提高患者的能力将使适当的卫生服务消费。实现适当的保健服务消费的一个重要部分是与服务有关的自助资源的质量,避免对危险疾病的不必要恐惧导致不适当的保健服务消费。
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引用次数: 2
WAMIS - Heuristic Approaches to a Medical Information Network 医学信息网络的启发式方法
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_5
A. Marksteiner
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引用次数: 0
A distributed system for the integrated management of general and subspecialist pediatric outpatient clinic 一种用于儿科综合门诊和专科门诊综合管理的分布式系统
Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-93503-9_17
A. Bernabei, V. Currò, A. D'Atri, G. L. Cava
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引用次数: 2
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Medical Informatics Europe
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