Traditional Chinese Medicine Aided Diagnosis and Treatment System for Rheumatoid Arthritis Based on Artificial Intelligence

被引：0
|
作者：
Sun M. [1 ]
Zhang D. [2 ]
Zheng M. [3 ]
Mei S. [2 ]
机构：
[1] Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology, Beijing
[2] Technical Department, Nanjing Research Institute of Next-Generation Artificial Intelligence, Nanjing
[3] Hangzhou Research Center of Artificial Intelligence, China Academy of Information and Communications Technology, Hangzhou
来源：
Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence | 2021年 / 34卷 / 04期
基金：
国家重点研发计划;
关键词：
Aided diagnosis; Artificial intelligence; Deep learning; Prescription recommendation; Rheumatoid arthritis;
D O I：
10.16451/j.cnki.issn1003-6059.202104006
中图分类号：
学科分类号：
摘要：
Rheumatoid arthritis(RA) is a widespread, chronic and refractory systemic immune rheumatism. Traditional Chinese medicine(TCM) presents the advantages of less side effects and low price. However, the spread of RA TCM diagnosis and treatment scheme with curative effect advantages is limited due to the lack of experienced TCM practitioners, especially in primary medical institutions. In this paper, a traditional Chinese medicine aided diagnosis and treatment system for RA based on artificial intelligence is proposed. RA and pattern of syndrome in RA can be determined after learning patient medical records and medical imaging of joints, and then TCM prescription is recommended intelligently according to the pattern. Next, the information is exploited to assist doctors in diagnosis. Based on RA TCM knowledge, the knowledge graph is built. It provides doctors with knowledge guidance in the process of diagnosis and treatment. The system can assist less experienced doctors in making treatment decisions, improving the treatment level of RA, and studying and promoting RA treatment. © 2021, Science Press. All right reserved.
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页码：343 / 352
页数：9
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