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

ABSTRACT:

Background

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 conveniently. As a solution, researchers build medical question answering (QA) systems. However, research on medical QA in the Chinese language lags behind work on English-based systems. This lag is mainly due to the difficulty of constructing a high-quality knowledge base and the underutilization of medical corpora in the Chinese language.

Results

This study developed an end-to-end solution to implement a medical QA system for the Chinese language with low cost and time. Fi

SUBMITTER: Zhang L 

PROVIDER: S-EPMC9013171 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature