Abstract：Objective To promote the deep integration of medical and health industry and emerging technologies, and promote
the development of medical informationization industry, a medical inquiry system based on deep learning was designed and
implemented. Methods The search and generation methods were comprehensively adopted, the medical knowledge base was
constructed by using web crawling technology and manual review, and the answer generation model was constructed by using the
Seq2Seq algorithm. Results The developed medical question and answer system was able to communicate effectively with users
and provide relevant medical advice, and its accuracy was guaranteed by expert review. Conclusion The medical question-andanswer
system based on deep learning reflects the combination of deep learning technology and medical industry, and promotes the
development of medical informationization.
姚智. 基于深度学习的医疗问答系统的开发[J]. 中国医疗设备, 2019, 34(12): 88-91.
YAO Zhi. Development of Medical Question-and-Answer System Based on Deep Learning. China Medical Devices, 2019, 34(12): 88-91.
