Design and Implementation of a Medical Question and Answer System Based on Deep Learning

Medical services play a pivotal role in people’s lives and the national economy. Although number of healthcare facilities is currently growing every year, there are still major problems terms access pressure on flow people. Therefore, an urgent need for complementary medical to alleviate patients their psychological burden enable them receive timely advice. This article designs implements Q&A system based deep learning. We took retrieval-based approach, using crawler technology that has been manually reviewed build database, Seq2Seq algorithm TF-IDF model answer generation model. The question developed effective relevant advice be given. proposed this paper can quickly provide users with accurate answers compared conventional search methods real datasets.