Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution

• Published in: BMC bioinformatics Vol. 23; no. 1; pp. 136 - 32
• Main Authors: Zhang, Li, Yang, Xiaoran, Li, Shijian, Liao, Tianyi, Pan, Gang
• Format: Journal Article
• Language: English
• Published: England BioMed Central 15.04.2022; BMC
• Subjects: Accuracy; Artificial neural networks; Bootstrapping; China; Chinese languages; Deep learning; Electronic Health Records; Internet; Knowledge; Knowledge bases (artificial intelligence); knowledge graph; Knowledge representation; Language; Medical records; Medical research; Memory neural network; Natural Language Processing; Neural networks; Neural Networks, Computer; Quality assurance; Question-answering system; Questions; Search engines; Segmentation; Semantics; Software; Statistical methods; Taxonomy; Text mining; Usability; China; Bootstrapping; Deep learning; Memory neural network; Text mining; Question-answering system; Natural language processing; knowledge graph

Medical information has rapidly increased on the internet and has become one of the main targets of search engine use. However, medical information on the internet is subject to the problems of quality and accessibility, so ordinary users are unable to obtain answers to their medical questions conve...