2025 Vol.8 Feb.N01

• Title: A Deep Learning Based Digital Human Intelligent Q&A Method for Medical Nursing Teaching
• Name: Huan Li
• Company: SIAS UNIVERSITY SCHOOL OF MEDICINE, zhengzhou 451100，China
• Abstract:

   in the process of digital human intelligent Q&A, accurate matching of questions and response information is the key to ensuring the accuracy of Q&A. Therefore, a deep learning based digital human intelligent Q&A method for medical nursing teaching is proposed. A word segmentation dictionary was constructed by introducing the whole word binary mechanism, which was embedded into a three-dimensional language framework for comprehensive analysis of the problem. The information with the highest degree of fit between the analysis results and the matching of the problem was analyzed and matched using the three-dimensional language framework as the response output for answering questions. In the test results, the design method achieved an accuracy rate of over 95.0% in answering different types of questions.

  
  

• Keyword: deep learning; medical nursing teaching; intelligent Q&A; the whole word binary mechanism; participle dictionary; 3D language framework; information matching;
• DOI: 10.12250/jpciams2025090210
• Citation form: Huan Li.A Deep Learning Based Digital Human Intelligent Q&A Method for Medical Nursing Teaching[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.

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