TCM tongue diagnosis index of early-stage breast cancer

Lo, Lun-Chien; Cheng, Tsung Lin; Chen, Yi Jing; Natsagdorj, Sainbuyan; Chiang, John Y.

doi:10.1016/j.ctim.2015.07.001

Cited by 53 publications

(34 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 1 depicts the template of the tongue in which region of interest (ROI) is fixed on the tongue. e centre region of the tongue indicates the spleen and stomach organ of the human body [46]. So, the ROI has been fixed at the centre of the tongue region to classify DM.…”

Section: Measurement Protocolmentioning

confidence: 99%

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus

Thirunavukkarasu

Snekhalatha

Krishnan

et al. 2020

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

Diabetes mellitus is one of the life threatening diseases over the globe, and an early prediction of diabetes is of utmost importance in this current scenario. International Diabetes Federation (IDF) reported nearly half of the world’s population was undiagnosed and unaware of being developed into diabetes. In 2017, around 84 million individuals were living with diabetes, and it might increase to 156 million by the end of 2045 stated by IDF. Generally, the diagnosis of diabetes relies on the biochemical method that may cause uneasiness and probability of infections to the subjects. To overcome such difficulties, a noninvasive method is much needed around the globe for primary screening. A change in body temperature is an indication of various diseases. Infrared thermal imaging is relatively a novel technique for skin temperature measurement and turned out to be well known in the medical field due to being noninvasive, risk-free, and repeatable. According to traditional Chinese medicine, the human tongue is a sensitive mirror that reflects the body’s pathophysiological condition. So, we have (i) analysed and classified diabetes based on thermal variations at human tongue, (ii) segmented the hot spot regions from tongue thermogram by RGB (red, green, blue) based color histogram image segmentation method and extracted the features using gray level co-occurrence matrix algorithm, (iii) classified normal and diabetes using various machine learning algorithms, and (iv) developed computer aided diagnostic system to classify diabetes mellitus. The baseline measurements and tongue thermograms were obtained from 140 subjects. The measured tongue surface temperature of the diabetic group was found to be greater than normal. The statistical correlation between the HbA1c and the thermal distribution in the tongue region was found to be r2 = 0.5688. The Convolutional Neural Network has outperformed the other classifiers with 94.28% accuracy rate. Thus, tongue thermograms could be used as a preliminary screening approach for diabetes prognosis.

show abstract

Section: Measurement Protocolmentioning

confidence: 99%

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus

Thirunavukkarasu

Snekhalatha

Krishnan

et al. 2020

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

show abstract

“…More recently, many studies have increasingly found that the diagnostic methods of TCM can help the diagnosis of disease in modern medicine. For example, it was found that tongue features can be used to predict early-stage breast cancer [41,42]. Moreover, a geographical tongue 1 is associated with the severity of diseases such as psoriasis [43].…”

Section: Datasetmentioning

confidence: 99%

Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine

Zhang¹,

Wang²,

Yang³

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

Background: In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for the fine-grained corpus construction of TCM clinical records in future. Methods: We developed a four-step approach that is suitable for the construction of TCM medical records in our corpus. First, we determined the entity types included in this study through sample annotation. Then, we drafted a fine-grained annotation guideline by summarizing the characteristics of the dataset and referring to some existing guidelines. We iteratively updated the guidelines until the inter-annotator agreement (IAA) exceeded a Cohen's kappa value of 0.9. Comprehensive annotations were performed while keeping the IAA value above 0.9. Results: We annotated the 10,197 clinical records in five rounds. Four entity categories involving 13 entity types were employed. The final fine-grained annotated entity corpus consists of 1104 entities and 67,799 tokens. The final IAAs are 0.936 on average (for three annotators), indicating that the fine-grained entity recognition corpus is of high quality. Conclusions: These results will provide a foundation for future research on corpus construction and named entity recognition tasks in the TCM clinical domain.

show abstract

“…More recently, more and more studies have found that the diagnostic methods of TCM can help the disease diagnosis of modern medicine. For example, as for tongue diagnosis, it is found that tongue features identified in predicting early-stage breast cancer (BC) [41,42], geographic tongue is associated with disease severity and may be a marker of the psoriasis severity [43]. With regard to pulse diagnosis, Wang et al [44] found that there is significant difference between the pulse diagnosis signals of healthy volunteers and patients with fatty liver disease (FLD) and cirrhosis.…”

Section: Clinical Entity Recognition Corpus Constructionmentioning

confidence: 99%

Constructing a fine-grained entity recognition corpus based on clinical records of Traditional Chinese Medicine

Zhang

Wang

Yang

et al. 2019

Preprint

View full text Add to dashboard Cite

Objective In this paper, we focused on building a fine-grained entity annotation corpus with corresponding annotation guideline of Traditional Chinese Medicine ( TCM ) clinical records, and to provide an effective way to build more corpora of TCM clinical records in the future.Methods: Instead of previous research methods, we proposed four steps approach which is suitable for TCM medical records in our corpus construction work. Firstly, determine the entity types included in this study through sample annotation method; secondly, draft our fine-grained annotation guideline by summarizing the characteristics of the dataset and referring to some existing guidelines; thirdly, update the guideline through iterative annotations way until the inter-annotator agreement (IAA) value exceed 0.9, kappa value was used to measure the IAA; fourthly, comprehensive annotations were performed, if IAA value exceeds 0.9 stably . After above four method steps, we succeeded to construct the fine-grained entity recognition corpus of TCM clinical records.Results: There are 4 entity categories involving 13 entity types being determined finally. The finegrained annotated entity corpus consists of 1104 entities and 67799 tokens totally. The final IAAs are 0.93, 0.94, 0.94 respectively (between two of the three annotators), the IAA value show the finegrained entity recognition corpus are of high quality. We constructed a fine-grained annotated guideline and entity recognition corpus of TCM clinical records.Conclusions: The four-step method was of high quality, the corpus constructed in this study was an encouraging example . Based on this approach, more comprehensive corpus about TCM clinical records will be built to support the TCM named entity recognition tasks in future research.

show abstract

TCM tongue diagnosis index of early-stage breast cancer

Cited by 53 publications

References 28 publications

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus

Constructing fine-grained entity recognition corpora based on clinical records of traditional Chinese medicine

Constructing a fine-grained entity recognition corpus based on clinical records of Traditional Chinese Medicine

Contact Info

Product

Resources

About