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大数据环境下基于Hadoop平台的医学数据挖掘算法研究（英文）.docx

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大数据环境下基于Hadoop平台的医学数据挖掘算法研究（英文） ResearchonMedicalDataMiningAlgorithmBasedonHadoopPlatformintheBigDataEnvironment Withthedevelopmentofinformationtechnologyandtheexpansionofmedicalinformation,theamountofmedicaldataisgrowingatanunprecedentedrate.Traditionaldataprocessingmethodsareunabletorespondtothemassiveamountsofdata.However,Hadoop,whichhasthecharacteristicsofmassivedatastorage,distributedarchitecture,andhighdataprocessingefficiency,hasgraduallyattractedtheattentionofmedicalresearchersandbecomeoneofthemostpromisingbigdataplatformsformedicaldatamining. ThispaperexplorestheresearchstatusofmedicaldataminingbasedonHadoopplatforminthebigdataenvironment.Firstly,thebasicconceptsofbigdata,medicaldatamining,andHadoopareintroduced.Secondly,thispaperanalyzesthenecessityandfeasibilityofmedicaldataminingbasedonHadoopplatformanddiscussestheadvantagesofHadoopinmedicaldatamanagementandmining. Inrecentyears,variousmedicaldataminingalgorithmshavebeenproposed,includingclassification,clustering,associationmining,prediction,andrecommendationalgorithms.Becauseofitsdistributed,parallel,andfault-tolerantfeatures,Hadoopisconsideredtobeverysuitableforimplementingthesealgorithms. Moreover,Hadoopplatform-basedmedicaldataminingcanhelpmedicalresearchersdetectandpredictdiseases,improveclinicalandmedicaldecision-making,andprovidepersonalizeddiagnosisandtreatment.ThispaperdiscussessomerepresentativeapplicationsofHadoopinmedicaldatamining,suchasdrugdiscovery,diseasediagnosis,andpatientmanagement. However,therearesomechallengesintheapplicationofHadoopplatforminmedicaldatamining,suchasdataprivacy,dataquality,computationefficiency,andalgorithmoptimization.Therefore,thispaperraisessomesolutionstothesechallenges,suchasdataencryptionandanonymization,datacleaningandpreprocessing,optimizingHadoopplatformperformance,anddesigningefficientmedicaldataminingalgorithms. Finally,thispaperconcludesthatmedicaldataminingbasedonHadoopplatformisapromisingandvaluableresearchfield.Hadoopcaneffectivelyimprovethemanagement