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| Traditional Chinese Medicine Aided Diagnosis and Treatment System for Rheumatoid Arthritis Based on Artificial Intelligence |
| SUN Mingjun1, ZHANG Dan2, ZHENG Mingzhi3, MEI Shuhuan2 |
1. Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology, Beijing 100191
2. Technical Department, Nanjing Research Institute of Next-Generation Artificial Intelligence, Nanjing 210046
3. Hangzhou Research Center of Artificial Intelligence, China Academy of Information and Communications Technology, Hangzhou 311121 |
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Abstract 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.
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Received: 15 June 2020
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| Fund:National Key R&D Program of China(No.2018YFC1705504) |
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Corresponding Authors:
SUN Mingjun, master, senior engineer. Her research inte-rests include artificial intelligence and multimedia.
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| About author:: ZHANG Dan, master, engineer. Her research interests include natural language processing. ZHENG Mingzhi, bachelor, engineer. His research interests include natural language processing and wise medical. MEI Shuhuan, master, engineer. His research interests include image retrieval and image recognition.) |
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2021, Vol. 34 
