女性子宫肌瘤的病因学及流行病学研究

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1、propagation(BP)networkonanalyzingtheriskfactorsofuterinemyomas．3．Tendencystudy：BPnetworkwereusedtotrainingsettopredicttheprevalencerateofuterinemyomas，inordertofindtherelationshipbetweenthecrucialfactorsandprevalencerateofuterinemyomas，andtogivecluesforpopulationp

2、reventionofuterinemyomas．Objectives1．TodescribethemorbidityandthepopulationcharacteristicsofuterineleiomyomasamongwomeninShenyang；toanalyzetherelatedinfluencingfactorsofuterineleiomyomas，andfindouttheriskfactorsofuterineleiomyomasmorbidityfromwomen’Sreproductivehe

3、althcondition，workingconditions，livinghabits，sexualactions，emmeniaandreproductivehistory,contraceptivemethods，etc；andtoprovidethereasonableproofsofpreventingandcontrollinguterinemyomas．2．BycompareingwithLogisticregressionanalysis，toevaluatethevalueofabackonanalyzi

4、ngtheriskfactorsofuterinemyomas．3．ToevaluatetheapplyingvalueofBPnetworkinuterinemyomasprediction，inordertoexploretherelationshipbetweenthecrucialfactorsandprevalencerateofuterinemyomas，andtogivecluesforpopulationpreventionofuterinemyomas．Methods1．Usingstratifiedra

5、ndomsamplingmethod，1260womenweresurveyedbyquestionnaire，weacquiredtheprevalenceofuterineleiomyoma,1：2matchedcase-controlstudyWasusedtoexploretheinfluentialfactorsofUterinemyomas．Thestatisticsmethodsincludedthematched矿test，univariateanalysis，andconditionalmultinoma

6、lLogisticregressionanalysis．2．1：2matchedcase·controlstudywasconductedwith112casesofuterinemyomas．NeuralnetworktoolsboxofSoftwareMATLAB6．5WasusedtotrainandsimulateBPartificialnetwork．Analyzedthemeanimpactvalue(MIV)foreachinputvariables，andcompared谢thmultipleLogisti

7、cregressionanalysisandlog-linearmodelforinteractionbetweenfactors．3．ThedataofuterinemyomasinShenyangfrom1993to2005wereusedasa6trainingsettopredicttheprevalencerateofuterinemyomas．NeuralnetworktoolsboxofSoftwareA缸虹LAB6．5wasusedtostructure，trainandsimulateBPArtifici

8、alNeuralNetwork．Results1．Morbidityofuterinemyomas：1260womenweresurveyedinthisstudy．112ofthemwereuterinemyomaspatients．Theaveragemorbidityrateofuterinemy