• Journal of Acupuncture Research
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• v.26 no.3
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• pp.115-131
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• 2009

Objectives: This survey was done in order to find out how Korean medical doctors derive pattern identification for acupuncture prescriptions in treating low back pain in real clinical practice. Methods : The survey questionnaire was developed by the committee of experts who major in acupuncture & moxibustion or statistics for acupuncture clinical trial protocol development. The questionnaires were distributed via e-mail to 75 members of Korean Acupuncture & moxibustion society from March 26th to April 14th in 2009. 57 members completed answers, and the computerized data were analyzed by SPSS 17.0 statistical program. Results : 1.57 Korean medical doctors selected meridian pattern identification based on the course of the meridians(44.6%), visceral pattern identification(32.1%), pattern identification based on cause of disease(14.3%) as the most commonly used pattern identification methods for acupuncture prescription when treating low back pain patients in real clinical practice. 2. In meridian pattern identification based on the course of the meridians, gallbladder meridian of hypochondriac region(13.0%), bladder meridian of lateral low back region(11.2%), governer vessel of central low back region(11.7%) were selected 3. In visceral pattern identification, yang deficiency of kidney(20.2%), deficiency of kidney(19.3%), liver(16.7%), yin deficiency of kidney(14.0%), violence qi of kidney(8.8%), small intestine(7.9%) were selected. Conclusions : In our e-mail survey, Korean medical doctors answered that Meridian Pattern Identification based on the course of the meridians is the most often used diagnosis method. Visceral pattern identification, pattern identification based on cause of disease, meridian pattern identification based on symptom and pattern identification based on qi-blood-yin-yang theory in order of frequency used, were selected for low back pain diagnosis in real clinical practice.

• Journal of Acupuncture Research
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• v.26 no.3
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• pp.59-65
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• 2009

Objectives : This survey was done in order to find out how Korean medical doctors derive pattern identification for acupuncture prescriptions in treating knee pain in real clinical practice. Methods : The survey questionnaire was developed by the committee of experts who major in acupuncture & moxibustion or statistics for acupuncture clinical trial protocol development. The questionnaires were distributed via e-mail to 75 members of Korean Acupuncture & moxibustion society from March 26th to April 14th in 2009. 57 members completed answers, and the computerized data were analyzed by SPSS 17.0 statistical program. Results : 1.54 Korean medical doctors selected meridian pattern identification based on the course of the meridians(52.5%), visceral pattern identification(27.1%), pattern identification based on cause of disease(8.5%) as the most commonly used pattern identification methods for acupuncture prescription when treating knee pain patients in real clinical practice. 2. In meridian pattern identification based on the course of the meridians, liver meridian of the medial knee region(13.2%), bladder meridian of the posterior knee region(12.0%), spleen meridian of the lateral knee region(11.7%), stomach meridian of the anterior knee region(9.8%) and kidney meridian of the medial knee region(8.6%) were selected. 3. In visceral pattern identification, blood stasis of sinews due to liver and kidney deficiency(5.3%), damp joint with yang deficiency of liver and kidney(4.9%), kidney qi deficiency with congealing cold(4.5%), yin deficiency of liver and kidney(4.1%) were selected. Conclusions : In our e-mail survey, Korean medical doctors answered that Meridian Pattern Identification based on the course of the meridians is the most often used diagnosis method. Visceral pattern identification, pattern identification based on cause of disease, pattern identification based on symptom and pattern identification based on qi-blood-yin-yang theory in order of frequency used, were selected for knee pain diagnosis in real clinical practice.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.2
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• pp.499-504
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• 2009

The purpose of this study was to evaluate the diagnostic indicators which are used for the identification of fire-heat pattern in stroke patients. For evaluation of diagnostic indicator, we analyzed the indicators which are composed of symptoms and signs collected from stroke patients based on the clinical records using case report form (CRF). Patients had a first-ever stroke within 1 month after the onset of stroke. Pattern identification was performed and decided by two independent physicians. Two patient groups that consist of fire-heat pattern and the other patterns were compared to isolate important indicators affecting the fire-heat pattern identification of stroke patients. The 8 indicators among 16 fire-heat pattern indicators were significantly more frequent compared with non fire-heat pattern group. Logistic regression analysis revealed that 5 indicators among fire-heat indicators were significantly sensitive indicators being capable of identification of fire-heat pattern. But two of them was from the indicators of dampness-phlegm pattern and yin deficiency pattern. Therefore, further studies are required for the development of Korean standard indicators of Fire-heat pattern identification.

• Journal of Physiology & Pathology in Korean Medicine
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• v.34 no.6
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• pp.362-371
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• 2020

In order to find out the relationship between the Eight Principle Pattern Identification of Yin-Yang, Exterior-Interior and the Sasang constitution, we analyzed the clinical data from 500 women with menstrual pain and women without menstrual pain. In the previous study, the subject's information of Typology Complexion Pulse and Symptom was collected, and Eight Principle Pattern Identification was executed based on this. Later, The relationship between the Sasang constitution and the Eight Principle Pattern Identification was statistically analyzed. The obvious difference between the experimental group and the control group in the patterns of Yin-Yang and Exterior-Interior is that patients who complain of menstrual pain do not maintain harmony with the yin-yang ratio, it can be said that the patterns of Yin-Yang and Exterior-Interior can be a identification standard that significantly obscures the condition of the disease. There was a significant difference between the Sasang constitution and the Eight Principle Pattern Identification of Yin-Yang. There was no significant difference between the Sasang constitution and the Eight Principle Pattern Identification of Exterior-Interior. It is assumed that the relationship between the Eight Principle Pattern Identification and the Sasang constitution has changed depending on the difference a view of emotional Qi and pathogenic Qi.

• Smart Structures and Systems
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• v.6 no.1
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• pp.39-56
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• 2010

Structural Control relies, with a great deal, on the ability of the control algorithm to identify the current state of the system, at any given point in time. When such algorithms are designed to perform in a smart manner, several smart technologies/devices are called upon to perform tasks that involve pattern recognition and control. Smart pattern recognition is proposed to replace/enhance traditional state identification techniques, which require the extensive manipulation of intricate mathematical equations. Smart pattern recognition techniques attempt to emulate the behavior of the human brain when performing abstract pattern identification. Since these techniques are largely heuristic in nature, it is reasonable to ensure their reliability under real life situations. In this paper, a neural network pattern recognition scheme is explored. The pattern identification of three structural systems is considered. The first is a single bay three-story frame. Both the second and the third models are variations on benchmark problems, previously published for control strategy evaluation purposes. A Neural Network was developed and trained to identify the deformed shape of structural systems under earthquake excitation. The network was trained, for each individual model system, then tested under the effect of a different set of earthquake records. The proposed smart pattern identification scheme is considered an integral component of a Smart Structural System. The Reliability assessment of such component represents an important stage in the evaluation of an overall reliability measure of Smart Structural Systems. Several studies are currently underway aiming at the identification of a reliability measure for such smart pattern recognition technique.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.28 no.4
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• pp.1-11
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• 2015

Objective : The aim of this study was to suggest guidelines using Nasal endoscopy index for objective pattern identification in allergic rhinitis patients. we performed a clinical study to investigate the relationship between Nasal endoscopy index and Cold-heat pattern identification for allergic rhinitis patients.Methods : We assessed 32 patients with allergic rhinitis using Nasal endoscopy index and the patients filled in Cold-Heat pattern questionnaires. Then, we analyzed the relationship between Nasal endoscopy index and Cold-heat pattern identification.Results : Pale and watery rhinorrhea scores were positively correlated with Cold questionnaire score (P<0.05).Conclusion : The results suggest that pattern identification using nasal endoscopy for allergic rhinitis can be useful for assessing the diagnosis of Cold-heat pattern identification and deciding guidelines of treatment.Acknowledgments : This work was supported by a Grant of the Traditional Korean Medicine R&D Project, Ministry of Health and Welfare, Republic of Korea (HI12C1889 and HI13C0530).

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1226-1233
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• 2009

Common cold occurs frequently and occupies an important position in medical treatment however obvious treatment is not suggested. There has been no agreement of pattern identification for common cold in oriental medicine. The purpose of this study is to develop a standard instrument of pattern identification for common cold which will be applied to clinical research. The items and structure of the instrument were based on review of published literature. The advisor committee on this study was organized by 9 oriental respiratory internal medicine professors of 11 oriental medical colleges nationwide. The experts attended 3 consultation meetings and discussed developing the instrument, and we also took professional advices by e-mail. The results were as follows; First, we divided the pattern identification of common cold into nine pattern: Wind-cold type, Wind-heat type, Contain summerheat type, Contain dampness type, Qi deficiency type, Blood deficiency type, Yang deficiency type, Yin deficiency type, Influenza. Second, we got the mean weights to each symptom of nine pattern identification which had been scored on a 5-point scale - ranging from 0 to 4 by the 9 experts. Third, we made out the Korean instrument of the pattern identification for common cold. It was composed self reporting questionnaire and researcher reporting questionnaire. Though this study is not proved about validity, reliability, the instrument of pattern identification for common cold is meaningful and expected to be applied to the subsequent research. And also, we hope to improve the instrument and make up for this study through various research and discussion.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.1052-1065
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• 2020

Objectives: To evaluate the reliability of a pattern identification tool for benign prostatic hyperplasia and to examine the relationship between pattern identification tool readings and IPSS and uroflowmetry. Methods: We analyzed 56 patients diagnosed with benign prostatic hyperplasia from December 27th, 2017 to December 26th, 2018 by two different Korean medical doctors and followed with a pattern identification tool and by IPSS and uroflowmetry. One week later, the patients were retested to analyze the reliability of the pattern identification tool, determined with the intraclass correlation coefficient (ICC) using the test-retest method. The correlation between IPSS and uroflowmetry was analyzed with the Pearson coefficient. Result: The reliability of the pattern identification tool for benign prostatic hyperplasia was evaluated as "poor agreement beyond chance" (ICC=0.349). The reliability of each pattern identification score was evaluated as "good" for Yang Deficiency of Kidney, Yin Deficiency of Kidney, Deficiency of Middle Qi, and Dampness-heat of Lower Energizer. The internal consistency was evaluated as "good" for Yang Deficiency of Kidney, Yin Deficiency of Kidney, and Dampness-heat of Lower Energizer, and as "excellent" for Deficiency of Middle Qi. The correlation between pattern identification and IPSS was evaluated as a "moderate positive correlation" for all pattern identifications. The average flow rate and maximum flow rate using uroflowmetry was evaluated with "moderate negative correlation" for Yang Deficiency of Kidney and Dampness-heat of Lower Energizer. Conclusion: The reliability of a pattern identification tool for benign prostatic hyperplasia was evaluated as "poor agreement beyond chance." Further research is needed.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.197-205
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• 1996

Unification of neural network with a hierarchical pattern recognition is presented for recognizing large set of objects. A two-step identification procedure is developed for pattern recognition: coarse and fine identification. The coarse identification is designed for finding a class of object while the fine identification procedure is to identify a specific object. During the training phase a course neural network is trained for clustering larger set of reference objects into a number of groups. For training a fine neural network, expert neural network is also trained to identify a specific object within a group. The presented idea can be interpreted as two step identification. Experimental results are given to verify the proposed methodology.

• The Journal of Korean Medicine
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• v.40 no.4
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• pp.49-60
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• 2019

Objectives: To develop a standardized diagnostic pattern identification equation for stroke patients, our group conducted a study to derive the predictive logistic equations. However, the sample size was relatively small. In the current study, we aimed to derive new predictive logistic equations for each diagnostic pattern using an expanded number of subjects. Methods: This study was a hospital-based multi-center trial recruited stroke patients within 30 days of symptom onset. Patients' general information, and the variables related to diagnostic pattern identification were measured. The diagnostic pattern of each patient was identified independently by two Korean Medicine Doctors. To derive a predictive model for pattern identification, binary logistic regression analysis was applied. Results: Among the 1,251 patients, 385 patients (30.8%) had the Fire Heat Pattern, 460 patients (36.8%) the Phlegm Dampness Pattern, 212 patients (16.9%) the Qi Deficiency Pattern, and 194 patients (15.5%) the Yin Deficiency Pattern. After the regression analysis, the predictive logistic equations for each pattern were determined. Conclusion: The predictive equations for Fire Heat, Phlegm Dampness, Qi Deficiency, and Yin Deficiency would be useful to determine individual stroke patients' pattern identification in the clinical setting. However, further studies using objective measurements are necessary to validate these data.