门诊事前审方系统的设计与应用

目的在医改新形势下,为提升我院门诊合理用药水平,保障患者用药安全,设计并实施了门诊事前审方系统。方法本系统通过在门诊医生工作站中嵌入审方客户端,以审方知识库为审核依据,对门诊处方进行实时审核,并结合事后处方点评形成流程闭环。结果系统的实施有效拦截了不合理处方,提升了医院的抗菌药物管理质量,助力门诊医生、药师的高效工作。结论通过门诊事前审方系统的建立,提升医院合理用药,医院、医生、药师、患者均有较大的受益

Improved FCM algorithm using difference of neighborhood information

为了克服模糊C均值(fCM)无法处理图像噪声的缺点以及常用改进算法分割不足,提出了一种利用邻域差异性信息的fCM改进算法。利用高斯函数来合理刻画邻域间像素的空间位置和灰度差异特性,实现对中心像素隶属度的调整,达到分割噪声图像的目的。实验证明,该算法可以有效地处理高斯和椒盐噪声,在去除噪声的同时较完整地保留了图像的细节,其分割效果优于几种常用fCM改进算法。In order to overcome the shortcoming of Fuzzy C-means(FCM) that cannot deal with image noise and weaknesses of its common improved algorithms,an improved FCM algorithm using the difference of neighborhood information was proposed in this paper,which used Gaussian function to characterize the difference of space and gray value about neighborhood pixels reasonably,and to adjust the center pixel membership to achieve the purpose of noise image segmentation.The experimental results show that the proposed algorithm can effectively deal with the images with Gaussian and Pepper & Salt noise,and can remove the noise while retaining more complete details of image.Its segmentation results are better than several improved FCM algorithms in the literatures.福建省自然科学基金资助项目(2008J0312);南京军区“十一五”计划项目(06MA99);南京军区重点课题资助项目(08Z021

Fast and stable local bianry fitting approach for image segmentation

基于局部区域信息的局部二元拟合(lbf)模型在处理弱边界或灰度不均匀的图像分割方面有一定优势,但该方法非常依赖于初始轮廓,不当的初始轮廓不仅会导致分割时间较长,甚至分割失败。针对这一不足,提出一种快速稳定的lbf模型。首先通过添加带有变权系数面积项的lbf模型进行初始分类以获取较好的初始轮廓,然后采用传统的lbf模型对图像进行进一步的分割。实验证明,在保证良好分割效果的前提下,该方法对初始轮廓的选择更加灵活,分割速度明显快于传统的lbf模型。The Local Binary Fitting(LBF) model based on local region information has its certain advantages in image segmentation of weak boundary or uneven greay.But,the segmentation results are very sensitive to the initial contours,and improper initial contour can directly lead to segmentation failure.Thus,a fast and stable LBF approach was proposed.First,after adding the area item with variable weights to the traditional LBF model,better initial contour could be obtained than manual one.Second,the traditional LBF model would be used for further segmentation.The experimental results show that,under the precondition of preferable results,this method can not only get promising segmentation results with flexible initial contour selection,but also faster than the traditional LBF model.福建省自然科学基金项目资助项目(2008J0312);南京军区“十一五”计划项目(06MA99);南京军区重点项目(08Z021

Identity Authentication Method for Passive RFID Tags in Field of Military Logistics

目的:设计一种针对无源rfId标签的身份认证方法。方法:考虑到无源标签的弱计算能力,使用简单高效的哈希函数进行运算比较。结果:实现了阅读器与rfId标签之间的双向身份认证,从而保障了物流运输的安全。结论:该方法可以有效地增强战时环境下军事物资rfId标签的安全性。Objective To design an authentication method for passive RFID tag.Methods Taking the weak computing ability of passive tags into account,the simple and efficient Hash function was used for computing and comparing.Results Two-way authentication between the reader and RFID tags was realized,which could protect the safety of our military logistics.Conclusion This method can effectively improve the security of the RFID tags of military supplies during the war.南京军区重点课题(08Z021);南京军区“十一五”计划课题项目(06MA99

Research on construction and application of medical decision support system

目的:针对医院决策手段不丰富的现状,构建一套智能辅助决策系统为医院管理决策提供支持。方法:基于医院现有医疗数据,利用数据仓库、数据挖掘、联机分析处理等技术进行数据分析,构建智能知识库,将数据转化为用于辅助的知识决策,形成一体化的智能决策平台。结果:该决策支持系统能够帮助医院决策者更有效作出决策,提高了决策者的工作效率。结论:该决策系统具有较好的应用前景,适合在各医院推广应用。Objective To develop an intelligent decision support system for hospital decision-making.Methods Based on the existing medical data in the hospital, such technologies as data warehouse, data mining and online analytical processing were used for analyzing data and constructing intelligent knowledge base and integrated intelligent decision-making platform.Results The system might help the hospital administrator in decision making.Conclusion The decision support system is worthy popularizing in the hospital.南京军区重点项目(11Z023); 漳州市自然科学基金项目(Z2011009

Improved method of adaptive weight FCM combining random field

传统模糊C均值的隶属度场利用了像素的单点灰度信息,有利于算法保留细节,但去噪能力较弱;而图像的gIbbS随机场较好地刻画了像素的空间分布,有利于算法去噪,但在保留细节方面较差。该文利用邻域信息,动态地判断像素可能所在的位置,对两种场的权重进行自适应调整,从而实现两种场的优势互补。实验表明,该文自适应加权算法在去除噪声的同时可以保留更多的细节。Membership field of traditional fuzzy C means algorithm consider gray information of single pixel only,which is beneficial to retain details but weak in denoising an image.On the other hands,Gibbs random field depicts the spatial distribution of pixels,which is beneficial to smooth noise but poor at retaining image details.Thus,an improved method is proposed to take advantages over the two algorithms respectively,which can automatically determine the possible location of a pixel and adjust the proportion of the two fields according to neighborhood information of a pixel.Experiments show that the improved algorithm can adjust the weight of two fields adaptively to remove the noise while preserving more details.福建省自然科学基金No.2008J0312;南京军区“十一五”计划课题项目;南京军区重点课题---

Application of Clinical Pathway in Early Treatment of War Injuries

针对野战早期救治阶段存在伤员数量大、医护资源不足等现状,提出了一种面向服务的临床路径软件系统设计理念。将早期救治中的各关键事件模块化,并按专家制定的临床路径方案排列组合而成,有针对性并可进行即时调整。该系统力求将复杂繁琐的救治过程变为一种多分支、多出口、易操作的救治流程,实现对现有战伤救治信息流程的重组和优化,有利于伤员的高效、批量救治,最大限度地提高战伤救治能力和野战卫勤保障能力。According to the situation of large number of wounded and the lack of medical resources in the period of early treatment,a service-oriented software system used clinical pathway is designed to solve this problem.The key events of early treatment are modularized and arranged in the process of clinical pathway drawn up by experts.This process is targeted and can be adjusted in real time.The complicated process will be simplified to a multi-branch,multi-export and easy-operating one,and information flow will be reorganized and optimized.This new system will conducive to batch treatment of the wounded,improve the efficiency,and maximize the ability of treatment with war injuries and enhance the ability of hygienic guarantee.南京军区重点课题(08Z021);南京军区“十一五”计划课题项目(06MA99

Fast local binary fitting optimization approach for image segmentation

针对灰度不均匀图像难以正确分割和分割结果依赖于初始轮廓的问题,提出一种快速稳定的分割算法,首先通过自适应距离保持水平集演化(AdPlS)算法进行初始分割以获取较好的初始轮廓,然后采用局部二值拟合(lbf)模型进行快速分割。实验表明,改进后的模型有良好的分割效果,较好地解决了分割速度、精度及稳定性之间的矛盾。It is difficult to get the correct segmentation results for the intensity inhomogeneity images,and the segmentation results are very sensitive to the initial contours.Thus,a fast and stable approach was proposed to overcome these disadvantages.First,an Adaptive Distance Preserving Level Set(ADPLS) method was utilized to get a better initial contour.Second,the Local Binary Fitting(LBF) model was used for a further segmentation.The experimental results show that the improved model can achieve good performance and is better to solve the contradiction among the segmentation speed,accuracy and stability.南京军区重点项目(11Z023); 福建省自然科学基金资助项目(2008J0312

An Application and Design for Safety Material Support Program Based on Radio Frequency Identifier

目的:设计并应用一种基于射频技术的物资安全保障方案。方法:事先约定了rfId标签的编码格式,只有PdA通过无线方式与基地数据库连接才能获取rfId标签内容;同时在PdA与rfId标签之间建立双向认证机制,防止未授权的阅读器和假冒的标签参与会话。结果:在卫生分队执行机动卫勤保障任务动态补充物资过程中应用该方案后,保证了物资的安全运输。结论:在确保物资应急保障的安全性和可靠性方面有较大应用价值。Objective To design and apply a material security program based on RFID technology.Methods The program agreed on encoding format of RFID tag in advance,in which PDA could access the content of RFID tags only by connecting with the base database wirelessly.At the same time,mutual authentication mechanism was established between the PDA and the RFID tag,which prevented unauthorized tags and readers from participating in the session.Results The safe of military supplies transportation was assured after the program was applied in the implementation of mobile medical support tasks.Conclusion The program has great application value for ensuring the safety and reliability of material emergency support.南京军区重点课题(08Z021);南京军区“十一五”计划课题项目(06MA99

Improved Method for Fuzzy C-Means Clustering Algorithm

由于传统的模糊C均值(fuzzy C-MEAnS,fCM)算法没有考虑像素点的空间邻域信息,仅涉及像素的单点灰度,在处理含有噪声的图像时有很大的局限性,因此分割效果较差。针对fCM的缺陷,提出一种新的改进算法,该算法引入gIbbS随机场,将gIbbS随机场先验概率与像素点隶属度的乘积作为新的像素隶属度。实验表明,改进后的算法有良好的分割效果,既可以较为完整地保留图像边界细节,又能较好地去除图像的噪声。The traditional fuzzy C-means (FCM) algorithm has great limitations in dealing with the noisy images owing to not considering the spatial information of the pixels and only involving the pixel gray of a single point,so it's poor in segmenting an image.For the defects of the FCM algorithm,a new improved algorithm is proposed in this article,in which a product of Gibbs priori probability and the membership is regarded as the new pixel membership.Experimental results show that the improved algorithm has a good segmentation result;it can retain more complete edge details of image and can remove the image noise more effectively.南京军区重点项目(项目编号:11Z023); 福建省自然科学基金项目(项目编号:2008J0312