查询结果:   蒋蓓,黄敏,陈明,姚晨龙,武月圆.川崎病辅助决策系统的建立和临床应用[J].计算机应用与软件,2018,35(9):119 - 122,152.
中文标题
川崎病辅助决策系统的建立和临床应用
发表栏目
应用技术与研究
摘要点击数
1364
英文标题
ESTABLISHMENT AND APPLICATION OF ASSISTED DECISION-MARKING SYSTEM FOR KAWASAKI DISEASE
作 者
蒋蓓 黄敏 陈明 姚晨龙 武月圆 Jiang Bei Huang Min Chen Ming Yao Chenlong Wu Yueyuan
作者单位
上海市儿童医院,上海交通大学附属儿童医院信息部 上海 200062 上海海洋大学信息学院 上海 201306 上海俊泽软件有限公司 上海 200093   
英文单位
Department of Information Technology, Shanghai Children’s Hospital, Shanghai Jiao Tong University, Shanghai 200062, China College of Information Technology, Shanghai Ocean University, Shanghai 201306, China Shanghai Junze Software Co., Ltd., Shanghai 200093, China   
关键词
川崎病 辅助决策 系统
Keywords
Kawasaki disease Assisted decision-making System
基金项目
上海申康医院发展中心临床科技创新项目(SHDC12016119);上海市国际科技合作基金项目(15410722900)
作者资料
蒋蓓,工程师,主研领域:软件工程。黄敏,主任医师。陈明,教授。姚晨龙,助理工程师。武月圆,助理工程师。金珑喆,本科。 。
文章摘要
川崎病KD(Kawasaki disease)是好发于5岁以下儿童的急性发热性出疹性疾病,发病率正逐年上升。川崎病的诊断目前主要依靠临床表现,缺乏明确的实验室诊断指标。而早期诊断和及时有效治疗可显著降低川崎病患儿冠状动脉病变发生率。针对这种现状,通过Logistic诊断模型,对川崎病发生概率和丙球无反应的发生概率进行计算。通过分析与聚类算法,将患者进行归类,并以此建立用于门诊的川崎病辅助诊断决策系统。应用及实验结果表明,该辅助诊断系统不仅能有效提高诊断效率,而且可显著降低临床医生工作强度。同时,还可以较好地用于病患病例的记录与追踪,为患者的后期治疗提供依据。
Abstract
Kawasaki disease(KD) is an acute febrile rash disease that usually occurs in children under 5 years old. The incidence rate is increasing year by year. Currently, the diagnosis of KD relies mainly on clinical manifestations and there is no specific laboratory diagnostic index. Early diagnosis and effective treatment in time can significantly reduce the incidence of coronary artery disease in children with KD. In view of this status, the incidence of KD and the probability of intravenous immunoglobulin resistance were calculated by the logistic diagnostic model in this article. The patients were classified through the analysis and clustering algorithm. On the basis of this, we established KD auxiliary diagnostic decision-making system for out-patient. The experimental results show that the system can not only improve the diagnostic efficiency, but also significantly reduce the working intensity of clinicians. At the same time, the system can be used to record and track the patients’ cases and provide the basis for the later treatment.
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