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- 주제어 : Teeth-mark tongue (검색결과 3 건)
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Feasibility Study of Google’s Teachable Machine in Diagnosis of Tooth-Marked Tongue
( Hyunja Jeong ) 한국치위생과학회 2020 치위생과학회지 Vol.20 No.4
Background: A Teachable Machine is a kind of machine learning web-based tool for general persons. In this paper, the feasibility of Google’s Teachable Machine (ver. 2.0) was studied in the diagnosis of the tooth-marked tongue. Methods: For machine learning of tooth-marked tongue diagnosis, a total of 1,250 tongue images were used on Kaggle’s web site. Ninety percent of the images were used for the training data set, and the remaining 10% were used for the test data set. Using Google’s Teachable Machine (ver. 2.0), machine learning was performed using separated images. To optimize the machine learning parameters, I measured the diagnosis accuracies according to the value of epoch, batch size, and learning rate. After hyper-parameter tuning, the ROC (receiver operating characteristic) analysis method determined the sensitivity (true positive rate, TPR) and specificity (false positive rate, FPR) of the machine learning model to diagnose the tooth-marked tongue. Results: To evaluate the usefulness of the Teachable Machine in clinical application, I used 634 tooth-marked tongue images and 491 no-marked tongue images for machine learning. When the epoch, batch size, and learning rate as hyper-parameters were 75, 0.0001, and 128, respectively, the accuracy of the tooth-marked tongue’s diagnosis was best. The accuracies for the tooth-marked tongue and the no-marked tongue were 92.1% and 72.6%, respectively. And, the sensitivity (TPR) and specificity (FPR) were 0.92 and 0.28, respectively. Conclusion: These results are more accurate than Li’s experimental results calculated with convolution neural network. Google’s Teachable Machines show good performance by hyper-parameters tuning in the diagnosis of the tooth-marked tongue. We confirmed that the tool is useful for several clinical applications.
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이수정,백상인,이병권,이아람,김광록,윤현민,김원일,Lee, Soo-Jung,Baek, Sang-In,Lee, Byung-Gwon,Lee, Ah-Ram,Kim, Koang-Lok,Yoon, Hyun-Min,Kim, Won-Il 대한약침학회 2010 Journal of pharmacopuncture Vol.13 No.4
Objectives : The purpose of this study was to analyze the propensity and find out the Syndrome Differentiation of teeth-mark tongue by taking survey and body examinations with 178 male patients. 164 patients out of 178 were checked up on Heart Rate Variability (HRV), Accelerated Photoplethysmograpy (APG), Body Composition. This study was also planned to find out the distinctive characteristics of teeth-mark tongue diagnosis and compare differences between Qi-Deficiency and Accumulation of Dampness and Phlegm patients group. Methods : The questionnaire was carried out targeting 178 male with teeth-mark tongue respondents among who had Oriental Health Examination and patients from the 3rd oriental-internal medicine department in Dongeui Hospital from $1^{st}$, March 2005 to $30^{th}$, April 2010. Only 164 patients were checked on HRV, APG and Body composition examinations. Results : It showed that 86 patients had Qi-Deficiency and 78 had Dampness and Phlegm but 14 couldn't be categorized. The major symptoms of Qi-Deficiency compared to Dampness and Phlegm were 'Frequent running nose', 'Soft stool', 'Chronic fatigue', and 'Eyestrain'. On the contrary, Dampness and Phlegm's dominant symptoms were 'Chest discomfort', 'Feeling bloated', 'Back pain', 'Feeling sluggish', and 'Itchy skin'. However, all symptoms were not matched with the Syndrome Differentiation of Qi-Deficiency or Dampness and Phlegm. It also showed that teeth-mark tongue patients' frequent symptoms were 'Stuffy nose', 'Feeling bloated', 'Oliguria', 'Shoulder pain', 'Chronic fatigue' 'Eyestrain' and these symptoms were matched with the Syndrome Differentiation of Qi-Deficiency and Dampness and Phlegm. In the results from this study, there were no significant differences between Qi-Deficiency and Dampness and Phlegm. Conclusions : It is hard to conclude that teeth-mark tongue could be only one to diagnose Qi-Deficiency or Dampness and Phlegm with 3 examinations.
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Kim, Jihye,Jung, Chang Jin,Nam, Dong-Hyun,Kim, Keun Ho Elsevier 2017 EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE Vol.12 No.-
<P><B>Abstract</B></P> <P><B>Introduction</B></P> <P>Tongue diagnosis is a convenient and non-invasive method for examining the functional condition of the body. The presence of teeth marks (TMs) on the tongue surface indicates a swollen tongue and decreased resilience of the tongue surface. The aim of this study was to investigate whether teeth mark level (TML), a novel TM indicator, is useful for determining deficiency patterns (DPs) in patients with chronic fatigue (CF).</P> <P><B>Methods</B></P> <P>In total, 152 participants with CF were recruited. They were classified by two Korean medicine doctors (KMDs) into the following groups: qi deficiency (n=45), blood deficiency (n=37), yin deficiency (n=36), and yang deficiency (n=34). All the participants’ tongue images were obtained with a computerized tongue image analysis system after the diagnostic process. To objectively measure TMs, we calculated TMLs from the tongue images.</P> <P><B>Results</B></P> <P>Differences in the TMLs among the DPs were analyzed with multiple linear regression analysis. The TMLs of the clay-tongue models showed a close relationship with the number and depth of the TMs (r=0.99 and 0.98, respectively). The TMLs showed different trends according to the DPs (P<0.05). Tukey's multiple comparisons test revealed that the TMLs were significantly lower in the yin deficiency group than in the blood deficiency group (P<0.01).</P> <P><B>Conclusions</B></P> <P>The close relationship between TML and the DPs suggests that TML has the potential to be used in clinics as a supplementary means to differentiate among syndromes in CF and to evaluate therapeutic effects and prognosis in CF.</P> <P>Trial registration: CRIS no. KCT0001199.</P>
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