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Vol. 234, Issue 6, June 2019, pp. 9-15




The Use of Standard Symptom Descriptions in the Macrocura Diagnosis Assistant System
for Traditional Chinese Medicine Primary Care Practices

1 Shasha Wu, 2 Qiang Su, 3 Wenli Fan

1 Associate Professor of Computer Science, Spring Arbor University, Spring Arbor, MI, United States
2 Chief Medical Scientist, Macrocura, Ltd., Hangzhou, Zhejiang, China
3 Vice President of R&D, Macrocura, Ltd., Hangzhou, Zhejiang, China
Tel.: + 1-517-750-6698

E-mail: shasha.wu@arbor.edu


Received: 15 May 2019 /Accepted: 15 June 2019 /Published: 30 June 2019

Digital Sensors and Sensor Sysstems


Abstract: Traditional Chinese medicine (TCM) has been practiced by millions of people over two thousand years in China and surrounding countries like Japan and Korea. It is still widely accepted as a formal health care practice in these countries. The large amount of patients and long history of application helped TCM to accumulate significant medical knowledge both in practice and in theory. Although active in daily practices, the missing of modern scientific technology and analysis methods significantly limited TCM’s utilization and improvement. Historically, the TCM diagnosis is restricted by the methods a TCM doctor can use when modern diagnosing technologies like microscope and X ray were not available. As the result, TCM doctors have to build their diagnosis theory on the human detectable symptoms like tongue textures and pulse patterns. Although this historical choice gives TCM diagnosis significant advantages in cost and patient comfort over modern medical diagnosis methods, the subjective sign and symptom descriptions used in TCM diagnosis can cause many ambiguity and accuracy problems in rigorous medical researches. It also makes the TCM clinical data difficult to store, retrieve, and analyze in the modern medical information systems. In this article, we proposed the Macrocura TCM diagnosis assistant system 1 with standard TCM symptom code to regulate the TCM diagnosis data in clinical practices. Through the system, we try to promote the use of standard symptom descriptions to define the TCM clinical data and demonstrate how modern information technology and machine learning algorithms can be used to support the study and research of TCM diagnosis in primary care practices.


Keywords: Medical diagnosis, Clinic data processing, Health information system, Macrocura system, TCM diagnosis.


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