scholarly journals Research on the Method of Big Data Collecting, Storing and Analyzing of Tongue Diagnosis System

Author(s):  
Xiaowei Chen ◽  
Qingfeng Wu
2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Juyeon Kim ◽  
Jiyoung Son ◽  
Seungwon Jang ◽  
Dong-Hyun Nam ◽  
Gajin Han ◽  
...  

Tongue diagnosis is an important procedure in traditional Korean medicine (TKM). In particular, tongue coating thickness (TCT) is deemed to show the progression of the disease. However, conventional tongue diagnosis has limitations because of various external factors. Therefore, it is necessary to investigate the availability of tongue diagnosis system (TDS) in the assessment of TCT. This study has been designed as a prospective clinical trial involving 60 patients with functional dyspepsia. Tongue images will be obtained by TDS twice with a 30 min interval. The system will measure the percentage of TCT and classify it as either no coating, thin coating, or thick coating according to the existing diagnostic criteria. After finishing the collection of 60 patients' tongue images, TCT on the images will be simultaneously evaluated by the conventional method to establish the gold standard for assessing TCT by 5 well-trained clinicians. The evaluation will be repeated by the same clinicians after 2 weeks, but the order of the images will be changed. This trial is expected to provide clinical evidence for the availability of TDS as a diagnostic tool and to contribute to the standardization of the diagnosis system used in TKM. This trial is registered with ClinicalTrials.govNCT01864837.


2013 ◽  
Vol 18 (4) ◽  
pp. 45-55
Author(s):  
Jin-Woong Park ◽  
Sun-Kyung Kang ◽  
Young-Un Kim ◽  
Sung-Tae Jung

Author(s):  
Lun-chien Lo ◽  
Yung-fu Chen ◽  
John Y. Chiang ◽  
Tsung-lin Cheng ◽  
Natsagdorj Damdinsuren

2014 ◽  
Vol 155 (1) ◽  
pp. 709-713 ◽  
Author(s):  
Juyeon Kim ◽  
Gajin Han ◽  
Seok-Jae Ko ◽  
Dong-Hyun Nam ◽  
Jae-Woo Park ◽  
...  

Poroi ◽  
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Brad Mehlenbacher ◽  
Ashley Rose Mehlenbacher
Keyword(s):  
Big Data ◽  

Author(s):  
Harshvardhan Tiwari ◽  
Shivani S. Pai ◽  
N. S. Sumanth ◽  
Arundhati S. Hegde

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