Data Mining Approach for the Early Risk Assessment of Gestational Diabetes Mellitus

Int. J. Knowl. Discov. Bioinform. Pub Date : 1900-01-01 DOI:10.4018/IJKDB.2018010101

Saeed Rouhani, Maryam MirSharif

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引用次数: 4

Abstract

Inthisarticle,theauthorsproposedthemethodofmedicaldiagnosisingestationaldiabetesmellitus (GDM)intheinitialstagesofpregnancytofacilitatediagnosesandpreventtheaffection.Nowadays, inindustrialmodernworldwithchanginglifestylealimentalmannertheincidenceofcomplexdisease hasbeenincreasinglygrown.GDMisachronicdiseaseandoneofthemajorhealthproblemsthat isoftendiagnosedinmiddleorlateperiodofpregnancy,whenitistoolateforprediction.Ifitis nottreated,itwillmakeseriouscomplicationsandvarioussideeffectsformotherandchild.This articleisdesignedforansweringtothequestionof:“Whatisthebestapproachintimelyandaccurate predictionofGDM?”Thus,theartificialneuralnetworkanddecisiontreeareproposedtoreducethe amountoferrorandthelevelofaccuracyinanticipatingandimprovingtheprecisionofprediction. Theresultsillustratethatintelligentdiagnosissystemscanimprovethequalityofhealthcare,timely prediction,prevention,andknowledgediscoveryinbioinformatics. KEywoRDS Artificial Neural Network, Data Mining, Decision Tree, GDM, Risk Assessment

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妊娠期糖尿病早期风险评估的数据挖掘方法

Inthisarticle、theauthorsproposedthemethodofmedicaldiagnosisingestationaldiabetesmellitus (GDM)intheinitialstagesofpregnancytofacilitatediagnosesandpreventtheaffection。Nowadays, inindustrialmodernworldwithchanginglifestylealimentalmannertheincidenceofcomplexdisease hasbeenincreasinglygrown。GDMisachronicdiseaseandoneofthemajorhealthproblemsthat isoftendiagnosedinmiddleorlateperiodofpregnancy，whenitistoolateforprediction。Ifitis nottreated，itwillmakeseriouscomplicationsandvarioussideeffectsformotherandchild。This articleisdesignedforansweringtothequestionof:“Whatisthebestapproachintimelyandaccurate predictionofGDM?”Thus，theartificialneuralnetworkanddecisiontreeareproposedtoreducethe amountoferrorandthelevelofaccuracyinanticipatingandimprovingtheprecisionofprediction。Theresultsillustratethatintelligentdiagnosissystemscanimprovethequalityofhealthcare，timely预测，prevention，andknowledgediscoveryinbioinformatics。关键词:人工神经网络，数据挖掘，决策树，GDM，风险评估

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Int. J. Knowl. Discov. Bioinform.

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