Research Article
Design of Hospital Remote Consultation and Teaching System Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-030-82565-2_7, author={Ying Bao}, title={Design of Hospital Remote Consultation and Teaching System Based on Deep Learning}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Deep learning Hospital Remote consultation Teaching system}, doi={10.1007/978-3-030-82565-2_7} }- Ying Bao
Year: 2021
Design of Hospital Remote Consultation and Teaching System Based on Deep Learning
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_7
Abstract
The application of deep learning technology makes the hospital’s remote consultation and teaching system more humane. Therefore, this research designed a hospital remote consultation and teaching system based on deep learning technology. First of all, through the analysis of the problems of system construction, clear system design objectives. With the support of the system hardware, the deep learning process is used to realize the functions of case collection, remote consultation, doctor recommendation, remote education and training, and case sharing. Using experiments to analyze the actual application performance of the hospital remote consultation and teaching system based on deep learning, and comparing it with the traditional system, it verifies that the system in this paper is more effective.
