• The Journal of Korean Obstetrics and Gynecology
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• v.29 no.2
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• pp.113-120
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• 2016

Objectives: This study aims to report the effects of Korean medicine treatment by pattern identification and Sweet Bee Venom Pharmacopuncture on Chronic Relapsing Cystitis Methods: The patients was treated with Korean medicine by pattern identification and Sweet Bee Venom Pharmacopuncture at Qugu (CV2), Guanyuan (CV4). We evaluated treatment effects by changes of symptoms and urine analysis (UA) finding. Results: After treatments, the clinical symptoms such as painful urination, dysuria, frequent urination were improved and the state of urinalysis was improved. Conclusions: This clinical study suggests that Korean medicine treatment by pattern identification and Sweet Bee Venom Pharmacopuncture are significantly effective in treatment of a Chronic Relapsing Cystitis

• 대한상한금궤의학회지
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• v.9 no.1
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• pp.85-99
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• 2017

Objective : The objective of this study is to define the conceptional meaning of Shanghanlun provision while applying Shanghanlun disease pattern identification diagnostic system. Methods : 2 clinical cases, whose patients were treated by Injinho-tang, which was selected according to Shanghanlun provisions dualized with Je-Gang(提綱) and Jo-Moon(條文), were analyzed. Results : According to the results of analysis of 2 cases, the patients' diseases were improved when the treatment was applied according to Shanghanlun disease pattern identification diagnostic system and the interpretation of Shanghanlun provisions according to the etymology of Chinese character. Conclusions : These results suggests that Shanghanlun provisions be applied according to etymological interpretation of Chinese character in Shanghanlun disease pattern identification diagnostic system.

• Journal of Acupuncture Research
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• v.35 no.2
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• pp.47-51
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• 2018

Acupuncture is a complex intervention that manifests varied theories, treatment methods, diagnostic methods and diagnostic patterns. Traditionally based systems of acupuncture (TBSAs) often have their own diagnostic approaches and patterns. Despite the wide variety that can be found amongst TBSAs, is it possible that they share a common background in clinical observation and practice? Research has shown that multiple physiological pathways and mechanisms can be triggered by different acupuncture techniques and methods. It is highly likely that clinicians will have observed some of the effects of these responses and used those observations as feedback to help construct the patterns of diagnosis and their associated treatments. This review briefly examines this possibility. Pattern identification will have developed out of a complex interaction of factors that include; theories current at the time of their development, historical theories, personal choices and beliefs, training, practice methods, clinical observations and the natural feedback that comes from observing how things change once the treatment is applied. Researchers investigating TBSAs and pattern identification need to be more explicit about the systems they have investigated in order to understand the biological basis of pattern identification and their treatments.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• 대한상한금궤의학회지
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• v.15 no.1
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• pp.117-130
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• 2023

Objective : The objective of this study is to explore the meaning of 弦 in Shanghanlun through analyzing two cases. Methods : Two cases treated with modified Soshiho-tang, which is administrated when 弦 aggravates chief complaints, were analyzed. All of the cases were diagnosed by disease pattern identification diagnostic system based on Shanghanlun Provisions. Results : The patients' chief complaints of all 2 cases were improved after administration of modified Soshiho-tang. As pulling symptom was reduced in all 2 cases, patients' disease were relieved. Through the etymological research and clinical treatment results, the clinical meaning of 弦 is deduced as 'pulling'. Conclusions : The etymological and clinical analysis suggest that the concept of '弦' maybe defined as 'pulling' in Shanghanlun.

• Korean Journal of Clinical Laboratory Science
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• v.52 no.3
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• pp.229-236
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• 2020

Sixty-five molds isolated from clinical specimens were included in this study. All the isolates were molds that could be identified morphologically, strains that are difficult to identify because of morphological similarities, and strains that require species-level identification. PCR and direct sequencing were performed to target the internal transcribed spacer (ITS) region, the D1/D2 region, and the β-tubulin gene. Comparative sequence analysis using the GenBank database was performed using the basic local alignment search tool (BLAST) algorithm. The fungi identified morphologically to the genus level were 67%. Sequencing analysis was performed on 62 genera and species level of the 65 strains. Discrepancies were 14 (21.5%) of the 65 strains between the results of phenotypic and molecular identification. B. dermatitidis, T. marneffei, and G. argillacea were identified for the first time in Korea using the DNA sequencing method. Morphological identification is a very useful method in terms of the reporting time and costs in cases of frequently isolated and rapid growth, such as Aspergillus. When molecular methods are employed, the cost and clinical significance should be considered. On the other hand, the molecular identification of molds can provide fast and accurate results.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.5
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• pp.1125-1131
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• 2008

The purpose of this study is to evaluate the clinical implication of Eight Principle Pattern Identification, EPPI in Sasang Typology. Although EPPI is considered as the most basic differential diagnosis in Oriental Medical Science, it has not been used actively enough in clinical practice owing to the presumption that EPPI is not sufficient for the analysis of complex clinical symptoms. In Zhang Jiebin's Jingyuequanshu, he separates Yin-Yang with Six-identification in EPPI when explaining them. This implies that it is difficult to talk about each of EPPI in same perspective. Thus, for the active clinical usage of EPPI it is necessary to study in hierarchical perspective. Lee Je-ma's Sasang typology could be a good example that uses the hierarchical perspective of EPPI. In the book Dongeuisoosebowon Lee Je-ma talks about differentiating Yin with Yang by constitution, Exterior with Interior and Cold with Heat accordingly, to apply in prescriptions. After differentiation, Yin and Yang are placed in higher level from the rest of EPPI, thus Yin and Yang can influence the rest of EPPI. This study showed the importance of EPPI in understanding the differential diagnosis system of Sasang typology in clinical perspectives.

• The Journal of Internal Korean Medicine
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• v.45 no.1
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• pp.1-10
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• 2024

Objectives: This study investigated the pattern identification (PI) and clinical index of Parkinson's disease (PD) for personalized diagnosis and treatment. Methods: This prospective observational multi-center study recruited 100 patients diagnosed with PD from two Korean medicine hospitals. To cluster new subtypes of PD, items on a PI questionnaire (heat and cold, deficiency and excess, visceral PI) were evaluated along with pulse and tongue analysis. Gait analysis was performed and blood and feces molecular signature changes were assessed to explore biomarkers for new subtypes. In addition, unified PD rating scale II and III scores and the European quality of life 5-dimension questionnaire were assessed. Results: The clinical index obtained in this study analyzed the frequency statistics and hierarchical clustering analysis to classify new subtypes based on PI. Moreover, the biomarkers and current status of herbal medicine treatment were analyzed using the new subtypes. The results provide comprehensive data to investigate new subtypes and subtype-based biomarkers for the personalized diagnosis and treatment of PD patients. Ethical approval was obtained from the medical ethics committees of the two Korean medicine hospitals. All amendments to the research protocol were submitted and approved. Conclusions: An objective and standardized diagnostic tool is needed for the personalized treatment of PD by traditional Korean medicine. Therefore, we developed a clinical index as the basis for the PI clinical evaluation of PD. Trial Registration: This trial is registered with the Clinical Research Information Service (CRIS) (KCT0008677)

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.2
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• pp.145-152
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• 2017

The purpose of this study was to investigate the clinical research of Cold-Heat of pattern identification(PI) focused on quantitative indicators for general people in Korea, through the review of OASIS, KISS, DBpia, NDSL database. Ten clinical researches were analyzed in this study. These research gradually started from 2004 to 2009 but there was no research after 2010. Diagnosis of Cold-Heat PI all was done through a questionnaire, 7 or most researches had not used the intervention methods. Quantitative indicators related to the Cold-Heat PI mentioned in the selected 10 researches are seven, these indicators include heart rate variability(HRV), electroencephalogram, Yangdorak, respiratory index, electrogastrography, acoustic analysis index, western health test index. Related to the HRV were 3 researches, but correlation of significant indicators was a few levels(R=0.026-0.090). So far, studies regarding at the quantitative indicators of the prior the Cold-Heat PI were few, and the results of the study showed that low statistical precision, a lack of biological basis. Refer to the current state, in the future, we expect that research of quantitative indicators of scientific evidence-based through calculated and precise research concerning Cold-Heat PI be regarded as important in Korean Medicine.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.1012-1014
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• 2013

DNA-DNA hybridization method with four oligonucleotide-specific probes was used simultaneously for differentiation and identification of four Mycobacterium species (Mycobacterium tuberculosis, M. avium, M. intracellulare, and M. kansasii). This DNA-DNA hybridization method with 4 oligonucleotide-specific probes, which targets in the rpoB region of 4 Mycobacteria species, respectively, was tested on 322 clinical isolates. Using DNA-DNA hybridization method, we detected M. tuberculosis (282 strains), M. avim (7 strains), M. intracellulare (9 strains), and M. kansasii (3 strain) from 322 clinical isolates. This result was compared with conventional biochemical test and rpoB DNA sequence analysis of this clinical isolates. We confirmed identification of Mycobacterium tuberculosis, M. avium, M. intracellulare, and M. kansasii with high sensitivity (100 %) and specificity (100 %). This DNA-DNA hybridization method could be performed within 4 hours at least. Therefore, we suggest that DNA- DNA hybridization method using 4 rpoB DNA probes of Mycobacteria could be used for accurate, rapid, convenient detection and identification of Mycobacterium tuberculosis, M. avium, M. intracellulare, and M. kansasii in clinical samples.