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2014—2019年北京市通州区学校肺结核患者就诊和诊断延误影响因素分析 被引量:18
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作者 解艳涛 高汉青 +3 位作者 吴越 王赛赛 康万里 刘洋 《中国防痨杂志》 CAS CSCD 2021年第5期506-512,共7页
目的探索北京市通州区学校肺结核患者就诊延误、诊断延误及其影响因素,为制定干预措施提供理论依据。方法以2014—2019年北京市通州区辖区学校的152例初治肺结核患者为研究对象,采用回顾性研究方法收集《中国结核病管理信息系统》病案... 目的探索北京市通州区学校肺结核患者就诊延误、诊断延误及其影响因素,为制定干预措施提供理论依据。方法以2014—2019年北京市通州区辖区学校的152例初治肺结核患者为研究对象,采用回顾性研究方法收集《中国结核病管理信息系统》病案数据、北京市统一制定的学校肺结核患者的个案调查表数据和学校相关数据,采用单因素χ2检验及多因素logistic回归分析方法,分析学校肺结核患者的就诊延误(从出现症状至首次到医疗机构就诊的时间间隔超过14d)和诊断延误(从首次就诊至被确诊为肺结核的时间间隔超过14d)的影响因素。结果2014—2019年北京市通州区学校肺结核患者从出现症状到就诊的天数中位数(四分位数)为4.0(0.0,11.0)d,从初次就诊到确诊的天数中位数(四分位数)为10.5(6.0,19.0)d;就诊延误率为16.4%(25/152),诊断延误率为34.9%(53/152);多因素logistic回归分析结果显示,以执行晨午检为对照,未执行晨午检的学校肺结核患者就诊延误的风险高[OR(95%CI)=26.900(3.188~226.978)];以被动发现为对照,健康体检和密切接触者筛查发现的学校肺结核患者的就诊延误的风险低[OR(95%CI)=0.049(0.005~0.436)和OR(95%CI)=0.088(0.010~0.802)];相对于第四季度发病,第二季度和第三季度发病的学校肺结核患者的就诊延误的风险低[OR(95%CI)=0.089(0.020~0.391)和OR(95%CI)=0.169(0.036~0.801)];以首诊在定点医疗机构就诊为对照,首诊在非定点医疗机构就诊的学校肺结核患者诊断延误的风险高[OR(95%CI)=2.638(1.203~5.785)];以被动发现为对照,密切接触者筛查发现的学校肺结核患者的诊断延误风险低[OR(95%CI)=0.169(0.037~0.785)]。结论北京市通州区学校肺结核患者的就诊延误、诊断延误的影响因素包括患者、医疗机构和学校方面的因素,对于上述延误的影响因素要加强干预,在提升非定点医疗机构结核病诊断水平和发现意识的同时,重点关注学校晨午检制度、定期健康体检制度等学校相关因素的干预,减少延误的发生。 展开更多
关键词 结核 院校 延误就诊 延误诊断 因素分析 统计学
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The Cordiality on the Union of 3-regular Connected Graph and Cycle 被引量:3
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作者 xie yan-tao CHE Ying-tao LIU Zhi-shan 《Chinese Quarterly Journal of Mathematics》 CSCD 2010年第2期244-248,共5页
Diab proved the following graphs are Cordial;Pm K1,n if and only if(m,n) =(1,2);Cm K1,n;Pm Kn;Cm Kn for all m and n except m ≡ 2(mod 4).In this paper,we proved the Cordiality on the union of 3-regular connected graph... Diab proved the following graphs are Cordial;Pm K1,n if and only if(m,n) =(1,2);Cm K1,n;Pm Kn;Cm Kn for all m and n except m ≡ 2(mod 4).In this paper,we proved the Cordiality on the union of 3-regular connected graph K3 and cycle Cm.First we have the Lemma 2,if uv ∈ E(G),G is Cordial,we add 4 vertices x,y,z,w in sequence to the edge uv,obtain a new graph denoted by G*,then G* is still Cordial,by this lemma,we consider four cases on the union of 3-regular connected graph R3,and for every case we distinguish four subcases on the cycle Cm. 展开更多
关键词 3-regular graph Cordial graph union graph
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室内空气中甲醛含量检测方法的不确定度评定 被引量:8
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作者 朱超胜 李运林 +2 位作者 谢炎涛 陈志明 刘亚杰 《广州化工》 CAS 2018年第23期111-112,120,共3页
家庭装修材料释放的甲醛严重危害人体健康,准确测定室内空气中甲醛含量十分必要。根据GB/T18204. 2-2014中酚试剂测定甲醛方法和实验条件,计算了采样过程、标准溶液、标准曲线制作、及使用仪器所引入的各不确定度分量,并对各分量不确定... 家庭装修材料释放的甲醛严重危害人体健康,准确测定室内空气中甲醛含量十分必要。根据GB/T18204. 2-2014中酚试剂测定甲醛方法和实验条件,计算了采样过程、标准溶液、标准曲线制作、及使用仪器所引入的各不确定度分量,并对各分量不确定度进行合成,计算得出扩展不确定度。通过实验各过程的不确定分量值的分析,得出采样过程和标准曲线引入的不确定度对检测结果影响最大。 展开更多
关键词 甲醛 装修材料 分光光度法 不确定度
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Feature Selection Based on Adaptive Fuzzy Membership Functions 被引量:1
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作者 xie yan-tao SANG Nong ZHANG Tian-Xu 《自动化学报》 EI CSCD 北大核心 2006年第4期496-503,共8页
Neuro-fuzzy(NF)networks are adaptive fuzzy inference systems(FIS)and have been applied to feature selection by some researchers.However,their rule number will grow exponentially as the data dimension increases.On the ... Neuro-fuzzy(NF)networks are adaptive fuzzy inference systems(FIS)and have been applied to feature selection by some researchers.However,their rule number will grow exponentially as the data dimension increases.On the other hand,feature selection algorithms with artificial neural networks(ANN)usually require normalization of input data,which will probably change some characteristics of original data that are important for classification.To overcome the problems mentioned above,this paper combines the fuzzification layer of the neuro-fuzzy system with the multi-layer perceptron(MLP)to form a new artificial neural network.Furthermore,fuzzification strategy and feature measurement based on membership space are proposed for feature selection. Finally,experiments with both natural and artificial data are carried out to compare with other methods,and the results approve the validity of the algorithm. 展开更多
关键词 Membership function feature selection architecture pruning artificial neural networks
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Some Results on H-cordial Graphs and Semi-H-cordial Graphs
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作者 CHEN Li-na xie yan-tao 《Chinese Quarterly Journal of Mathematics》 2019年第1期52-56,共5页
I. Cahit calls a graph H-cordial if it is possible to label the edges with the numbers from the set{1,-1} in such a way that, for some k, at each vertex v the sum of the labels on the edges incident with v is either k... I. Cahit calls a graph H-cordial if it is possible to label the edges with the numbers from the set{1,-1} in such a way that, for some k, at each vertex v the sum of the labels on the edges incident with v is either k or-k and the inequalities |v(k)-v(-k)| ≤ 1 and|e(1)-e(-1)| ≤ 1 are also satisfied. A graph G is called to be semi-H-cordial, if there exists a labeling f, such that for each vertex v, |f(v)| ≤ 1, and the inequalities |e_f(1)-e_f(-1)| ≤ 1 and |vf(1)-vf(-1)| ≤ 1 are also satisfied. An odd-degree(even-degree) graph is a graph that all of the vertex is odd(even) vertex. Three conclusions were proved:(1) An H-cordial graph G is either odd-degree graph or even-degree graph;(2) If G is an odd-degree graph, then G is H-cordial if and only if |E(G)| is even;(3) A graph G is semi-H-cordial if and only if |E(G)| is even and G has no Euler component with odd edges. 展开更多
关键词 H-cordial Odd-degree GRAPH Semi-H-cordial
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