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Journal of Practical Radiology ; (12): 1159-1163, 2019.
Artigo em Chinês | WPRIM | ID: wpr-752515

RESUMO

Objective Tofacilitatetheradiologiststoinquireinformationrelatedtobreastdiseasesandimprovetheefficiencyand accuracyofsearchingdata.Methods Inthispaper,amultilevelstrategyhybridquestion-and-answermodelwasusedtodesignanautomatic question-and-answersysteminthefieldofbreastdiseasesimaging.Thefirstlayerofthismodelwasthequick matchingofquestion sentencesandFAQknowledgebase.Thesecondlayerwastoobtaintheanswersinthebasicknowledgebaseaccordingtothethresholdsetby processingthequestionsandcalculatingthesimilarityofthequestions.Thethirdlayerwastoacquiretheanswerparagraphfromthe webdocumentreturnedbythefull-textsearchengine.Results Thetestresultsshowedthattheaccuracyofthesystemansweracquisitionreached 85%.Thesystemcouldgivesatisfactoryanswerstotheproblemsexistingintheknowledgebase.Conclusion Theintelligentquestion answeringsystemforbreastdiseaseisconvenientandfast,anditisaneffectivetoolforradiologiststoinquiretheknowledgeofbreast diseases.

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