Artif Intell Med - Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support.

Tópicos

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Resumo

JECTIVE: Traditional Chinese medicine (TCM) is a scientific discipline, which develops the related theories from the long-term clinical practices. The large-scale clinical data are the core empirical knowledge source for TCM research. This paper introduces a clinical data warehouse (CDW) system, which incorporates the structured electronic medical record (SEMR) data for medical knowledge discovery and TCM clinical decision support (CDS).MATERIALS AND METHODS: We have developed the clinical reference information model (RIM) and physical data model to manage the various information entities and their relationships in TCM clinical data. An extraction-transformation-loading (ETL) tool is implemented to integrate and normalize the clinical data from different operational data sources. The CDW includes online analytical processing (OLAP) and complex network analysis (CNA) components to explore the various clinical relationships. Furthermore, the data mining and CNA methods are used to discover the valuable clinical knowledge from the data.RESULTS: The CDW has integrated 20,000 TCM inpatient data and 20,000 outpatient data, which contains manifestations (e.g. symptoms, physical examinations and laboratory test results), diagnoses and prescriptions as the main information components. We propose a practical solution to accomplish the large-scale clinical data integration and preprocessing tasks. Meanwhile, we have developed over 400 OLAP reports to enable the multidimensional analysis of clinical data and the case-based CDS. We have successfully conducted several interesting data mining applications. Particularly, we use various classification methods, namely support vector machine, decision tree and Bayesian network, to discover the knowledge of syndrome differentiation. Furthermore, we have applied association rule and CNA to extract the useful acupuncture point and herb combination patterns from the clinical prescriptions.CONCLUSION: A CDW system consisting of TCM clinical RIM, ETL, OLAP and data mining as the core components has been developed to facilitate the tasks of TCM knowledge discovery and CDS. We have conducted several OLAP and data mining tasks to explore the empirical knowledge from the TCM clinical data. The CDW platform would be a promising infrastructure to make full use of the TCM clinical data for scientific hypothesis generation, and promote the development of TCM from individualized empirical knowledge to large-scale evidence-based medicine.

Resumo Limpo

jectiv tradit chines medicin tcm scientif disciplin develop relat theori longterm clinic practic largescal clinic data core empir knowledg sourc tcm research paper introduc clinic data warehous cdw system incorpor structur electron medic record semr data medic knowledg discoveri tcm clinic decis support cdsmateri method develop clinic refer inform model rim physic data model manag various inform entiti relationship tcm clinic data extractiontransformationload etl tool implement integr normal clinic data differ oper data sourc cdw includ onlin analyt process olap complex network analysi cna compon explor various clinic relationship furthermor data mine cna method use discov valuabl clinic knowledg dataresult cdw integr tcm inpati data outpati data contain manifest eg symptom physic examin laboratori test result diagnos prescript main inform compon propos practic solut accomplish largescal clinic data integr preprocess task meanwhil develop olap report enabl multidimension analysi clinic data casebas cds success conduct sever interest data mine applic particular use various classif method name support vector machin decis tree bayesian network discov knowledg syndrom differenti furthermor appli associ rule cna extract use acupunctur point herb combin pattern clinic prescriptionsconclus cdw system consist tcm clinic rim etl olap data mine core compon develop facilit task tcm knowledg discoveri cds conduct sever olap data mine task explor empir knowledg tcm clinic data cdw platform promis infrastructur make full use tcm clinic data scientif hypothesi generat promot develop tcm individu empir knowledg largescal evidencebas medicin

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