Constructing Cross-Lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
Chang C, Wang L, Yang C. Constructing Cross-Lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content. 2024, 00: 275-284. DOI: 10.1109/ichi61247.2024.00043.Peer-Reviewed Original ResearchWord vector spaceOnline health communitiesConsumer health vocabularyOAC CHVHealth vocabularySkip-gram algorithmSemantically similar wordsConsumer-generated contentVector spaceUser Generated ContentMonolingual spacesIsometry assumptionSkip-gramRecognition frameworkWord embeddingsLanguage modelCosine similarityLanguageSimilar wordsEnglishNon-EnglishHuman effortVocabularyMedical translationMedical expressionsUsing an AI trial screening tool to assess language as a barrier for enrollment of underrepresented minorities in cancer clinical trials.
Corvese L, Weiss C, Huie S, Zhou B, Deng Y, Gong G, Kunz P, Fischbach N. Using an AI trial screening tool to assess language as a barrier for enrollment of underrepresented minorities in cancer clinical trials. Journal Of Clinical Oncology 2024, 42: e13586-e13586. DOI: 10.1200/jco.2024.42.16_suppl.e13586.Peer-Reviewed Original ResearchClinical trialsCancer clinical trialsTrial enrollmentPercentage of patientsYale Cancer CenterClinical trial enrollmentLimitations of clinical trialsTreating providersEnrolling patientsCancer CenterUnique patientsBreast programPatientsPatient-matchedEnrollment ratesStudy-related activitiesScreening toolTrial participantsTrialsCancerOffice staffClinicEnrollmentLanguage barriersNon-English
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