2020
A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes
Wang Q, Ji Z, Wang J, Wu S, Lin W, Li W, Ke L, Xiao G, Jiang Q, Xu H, Zhou Y. A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes. Journal Of Biomedical Informatics 2020, 105: 103418. PMID: 32298846, DOI: 10.1016/j.jbi.2020.103418.Peer-Reviewed Original ResearchConceptsBM25 algorithmConcept rankingConcept generationConvolutional neural network approachNeural network approachRanking-based methodRanking methodSupport vector machineProcedure termsBetter performanceVector machineDifferent algorithmsMedical codingNetwork approachAlgorithmICD codesBERTExtended versionGood accuracyKnowledgebaseDisease termsClinical termsMatch criteriaCodeChinese diagnosis
2019
Analysis on geographic variations in hospital deaths and endovascular therapy in ischaemic stroke patients: an observational cross-sectional study in China
Chen H, Shi L, Wang N, Han Y, Lin Y, Dai M, Liu H, Dong X, Xue M, Xu H. Analysis on geographic variations in hospital deaths and endovascular therapy in ischaemic stroke patients: an observational cross-sectional study in China. BMJ Open 2019, 9: e029079. PMID: 31239305, PMCID: PMC6597735, DOI: 10.1136/bmjopen-2019-029079.Peer-Reviewed Original ResearchConceptsObservational cross-sectional studyIschemic stroke patientsCross-sectional studyEVT useHospital mortalityTertiary hospitalStroke patientsEmergency departmentAssociated potential risk factorsNationwide hospital discharge databaseEndovascular therapy useHigher hospital mortalityHospital mortality rateHospital discharge databaseHospital discharge dataPost-stroke outcomesChina's tertiary hospitalsPotential risk factorsCause of deathNational Health CommissionHospital deathHospitalised patientsOlder patientsEndovascular therapyMale patientsA fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text
Xiong Y, Wang Z, Jiang D, Wang X, Chen Q, Xu H, Yan J, Tang B. A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. BMC Medical Informatics And Decision Making 2019, 19: 66. PMID: 30961602, PMCID: PMC6454584, DOI: 10.1186/s12911-019-0770-7.Peer-Reviewed Original ResearchTemporal indexing of medical entity in Chinese clinical notes
Liu Z, Wang X, Chen Q, Tang B, Xu H. Temporal indexing of medical entity in Chinese clinical notes. BMC Medical Informatics And Decision Making 2019, 19: 17. PMID: 30700331, PMCID: PMC6354334, DOI: 10.1186/s12911-019-0735-x.Peer-Reviewed Original ResearchConceptsSupport vector machineConvolutional neural networkTemporal indexingNeural network modelIndexing taskRelation classificationMedical entitiesRecurrent convolutional neural network modelMachine learning-based systemsConvolutional neural network modelDeep neural network modelNetwork methodNetwork modelLearning-based systemTemporal relation classificationRecurrent neural network methodChinese clinical notesTemporal relationsClinical notesNeural network methodI2b2 NLP challengeContext informationTime indexingSemantic informationBaseline methods
2018
Analysis of treatment pathways for three chronic diseases using OMOP CDM
Zhang X, Wang L, Miao S, Xu H, Yin Y, Zhu Y, Dai Z, Shan T, Jing S, Wang J, Zhang X, Huang Z, Wang Z, Guo J, Liu Y. Analysis of treatment pathways for three chronic diseases using OMOP CDM. Journal Of Medical Systems 2018, 42: 260. PMID: 30421323, PMCID: PMC6244882, DOI: 10.1007/s10916-018-1076-5.Peer-Reviewed Original ResearchConceptsTreatment pathwaysChronic diseasesStudy of drugsClinical data repositoryClinical treatmentDifferent medical institutionsProportion of monotherapyFirst-line medicationMedical institutionsFirst Affiliated HospitalType 2 diabetesNanjing Medical UniversityDifferent treatment pathwaysMost patientsCommon medicationsAffiliated HospitalMedicationsNational guidelinesMedication informationLocal hospitalMedical UniversitySame diseaseDiseasePatientsNew drugsExtraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches
Miao S, Xu T, Wu Y, Xie H, Wang J, Jing S, Zhang Y, Zhang X, Yang Y, Zhang X, Shan T, Wang L, Xu H, Wang S, Liu Y. Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches. International Journal Of Medical Informatics 2018, 119: 17-21. PMID: 30342682, DOI: 10.1016/j.ijmedinf.2018.08.009.Peer-Reviewed Original ResearchConceptsLearning-based methodsBreast ultrasound reportsElectronic health record systemsTraditional machine learning-based methodsDeep learning-based approachDeep learning-based methodsNatural language processing methodsMachine learning-based methodsDeep learning technologyConditional random field algorithmDeep learning approachLanguage processing methodsLearning-based approachUltrasound reportsBreast cancer researchRule-based methodHealth record systemsBreast radiology reportsLearning technologyNLP approachLearning approachField algorithmDetailed clinical informationWide adoptionRecord systemToward a normalized clinical drug knowledge base in China—applying the RxNorm model to Chinese clinical drugs
Wang L, Zhang Y, Jiang M, Wang J, Dong J, Liu Y, Tao C, Jiang G, Zhou Y, Xu H. Toward a normalized clinical drug knowledge base in China—applying the RxNorm model to Chinese clinical drugs. Journal Of The American Medical Informatics Association 2018, 25: 809-818. PMID: 29635469, PMCID: PMC7647010, DOI: 10.1093/jamia/ocy020.Peer-Reviewed Original ResearchConceptsChinese patent drugDrug knowledge basePatent drugsClinical drugsChemical drugsChinese drugsManual reviewChinese patent medicineElectronic health record systemsClinical dataChina's health insurance systemHealth record systemsDrug AdministrationHealth insurance systemDrug informationDrugsPatent medicineDrug namesRecord systemPharmacy system
2017
Comparing Cancer Information Needs for Consumers in the US and China.
Ji Z, Zhang Y, Xu J, Chen X, Wu Y, Xu H. Comparing Cancer Information Needs for Consumers in the US and China. 2017, 245: 126-130. PMID: 29295066, PMCID: PMC5805146.Peer-Reviewed Original Research
2015
Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.
Wu Y, Jiang M, Lei J, Xu H. Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network. 2015, 216: 624-8. PMID: 26262126, PMCID: PMC4624324.Peer-Reviewed Original ResearchConceptsDeep neural networksLarge unlabeled corpusNamed Entity RecognitionWord embeddingsUnlabeled corpusUnsupervised learningEntity recognitionNeural networkNatural language processing technologyNovel deep learning methodLanguage processing technologyDeep learning methodsUnsupervised feature learningFeature engineering approachImportant healthcare informationChinese clinical textTypes of entitiesFeature learningNER taskClinical textLearning methodsClinical documentsCRF modelHealthcare informationFree text
2013
A comprehensive study of named entity recognition in Chinese clinical text
Lei J, Tang B, Lu X, Gao K, Jiang M, Xu H. A comprehensive study of named entity recognition in Chinese clinical text. Journal Of The American Medical Informatics Association 2013, 21: 808-814. PMID: 24347408, PMCID: PMC4147609, DOI: 10.1136/amiajnl-2013-002381.Peer-Reviewed Original ResearchAnalyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages.
Wu Y, Lei J, Wei W, Tang B, Denny J, Rosenbloom S, Miller R, Giuse D, Zheng K, Xu H. Analyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages. 2013, 192: 662-6. PMID: 23920639, PMCID: PMC4957806.Peer-Reviewed Original ResearchConceptsNatural language processing toolsEnglish clinical textClinical textLanguage processing toolsChinese clinical textCultural differencesMajor clinical componentsTextWestern institutionsInpatient discharge summariesCross-country collaborationDocument levelProcessing toolsClinical documentsLanguageUS institutionsUsesUnprecedented amountValuable insightsInstitutionsDocumentsChinaWorldwide adoptionEMR dataCollaboration