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基于数据挖掘和网络药理学的2型糖尿病用药规律及机制分析.docx

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基于数据挖掘和网络药理学的2型糖尿病用药规律及机制分析 Title:AnalysisofDrugUsagePatternsandMechanismsforType2DiabetesMellitususingDataMiningandNetworkPharmacology Introduction: Type2diabetesmellitus(T2DM)isachronicmetabolicdisordercharacterizedbyinsulinresistanceandimpairedglucoseregulation.ThemanagementofT2DMinvolvestheuseofvariousmedicationstocontrolbloodsugarlevelsandpreventcomplications.UnderstandingthepatternsofmedicationusageandtheunderlyingmechanismscanhelpimprovethetreatmentstrategiesforT2DM.Inthispaper,weaimtoanalyzethedrugusagepatternsandmechanismsforT2DMusingdataminingandnetworkpharmacology. Methods: 1.DataCollection:Obtainalargedatasetcontainingmedicationrecords,clinicaldata,andgeneticinformationofT2DMpatients.Thedatasetshouldincludeinformationonmedicationusage,dosage,duration,andpatientoutcomes. 2.DataMining:Applydataminingtechniquessuchasassociationanalysis,clustering,andclassificationtoidentifypatternsandrelationshipsbetweendifferentmedicationsandpatientoutcomes.Thisanalysiscanrevealfrequentdrugcombinations,thesequenceofmedicationusage,andtheeffectivenessofdifferenttreatmentregimens. 3.NetworkPharmacologyAnalysis:Constructadrug-geneinteractionnetworkusingknowndrug-targetinteractionsandgeneticdata.AnalyzethenetworktoidentifykeydrugtargetsandsignalingpathwaysinvolvedinthetreatmentofT2DM.Thisanalysiscanprovideinsightsintothemechanismsofactionfordifferentmedicationsandhelpidentifypotentialtherapeutictargets. Results: 1.DrugUsagePatterns:Analyzethemedicationrecordstoidentifyfrequentlyprescribedmedications,commonlyuseddrugcombinations,andthesequenceofdrugadministration.Identifyanysignificantassociationsbetweenspecificmedicationsandpatientoutcomes,suchasbloodsugarcontrolorthedevelopmentofcomplications. 2.MechanismsofAction:Analyzethedrug-geneinteractionnetworktoidentifykeydrugtargetsandsignalingpathwaysassociatedwithT2DM.Evaluatethemolecularmechanismsofdifferentmedicationsandtheirpotentialsynergisticeffects.Identifyanynoveltargetsorpathwaysthatmayberelevantforthedevelopmentofnewtreatm