• 동의생리병리학회지
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• 제25권1호
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• pp.149-153
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• 2011

In this study, we structuralized the diagnostic indices used for pattern identification (PI) of stroke, and suggested an AHP method to obtain the weights of PI indices. AHP of the subjects under consistency ratio 0.1 showed that the critical indices for stroke PI consists of 9 for Qi-deficiency, 13 for Phlegm/dampness, 7 for blood stagnation, 12 for Yin-deficiency and 16 for Fire/heat. Furthermore, AHP analysis rendered the weights of indices of each PI that will be useful for oriental medical experts to perform objective PI.

• 동의생리병리학회지
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• 제23권6호
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• pp.1460-1464
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• 2009

In spite of many studies on statistical model for pattern identifications (PIs), little attention has been paid to the complexity of pattern diagnosis processed by oriental physicians. The aim of this study is to develop a statistical diagnostic model which discriminates four PIs using multiple indicators in stroke. Clinical data were collected from 981 stroke patients and 516 data of which PIs were agreed by two independent physicians were included. Discriminant analysis was carried out using clinical indicators such as symptoms and signs which referred to pattern diagnosis, and applied to validation samples which contained all symptoms and signs manifested. Four Fischer's linear discriminant models were derived and their accuracy and prediction rates were 93.2% and 80.43%, respectively. It is important to consider the pattern diagnosis processed by oriental physicians in developing statistical model for PIs. The discriminant model developed in this study using multiple indicators is valid, and can be used in the clinical fields.

• 동의생리병리학회지
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• 제23권5호
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• pp.964-968
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• 2009

The purpose of this study is to select the major pulse indicators and evaluate their significance in discriminating the subtypes of Pattern Identifications (PI) from stroke patients. Decision tree analysis was carried out using clinical data collected from 835 stroke patients with the same subtypes diagnosed identically by two experts with more than 3 year clinical experiences. Among the 10 pulse indicators, 6 major pulse indicators (slow, rapid, strong, weak, slippery, and fine pulse) were selected by decision tree analysis. The accumulated distributions of six pulse indicators in each PI showed that strong was major pulse indicator in Fire-Heat pattern, slippery in Dampness Phlegm pattern, weak in Qi Deficiency pattern. But there were two major combinations in Yin deficiency pattern, weak or fine with rapid pulse and weak or fine without rapid pulse. Therefore, it is suggested that 6 pulse indicators can be used for discrimination of PI in stroke patients, though the combination studies between these pulse indicators and the other PI indicators are left for further study.

• 동의생리병리학회지
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• 제25권6호
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• pp.1113-1118
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• 2011

In this paper, when a physician make a diagnosis of the pattern identification (PI) in Korean stroke patients, the development methods of the PI classification function is considered by diagnostic questionnaire of the PI for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PI subtypes diagnosed by two physicians with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PI using Korean Stroke Syndrome Differentiation Standard was consist of the 44 items (Fire heat(19), Qi deficiency(11), Yin deficiency(7), Dampness-phlegm(7)). Using the 44 items, we took diagnostic and prediction accuracy rate through of discriminant model. The overall diagnostic and prediction accuracy rate of the PI subtypes for discriminant model was 74.37%, 70.88% respectively.

• 대한한의학회지
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• 제31권5호
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• pp.82-89
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• 2010

Objectives: The aim of this study was to determine distribution patterns of TOAST subtypes of ischemic stroke patients admitted to oriental hospitals and to get a better understanding of present conditions in oriental medicine by comparing with the Korea stroke registry (KSR), the largest and representative data. Methods: Clinical data were collected from acute ischemic stoke patients. MRI studies including vascular images were performed in all cases. TOAST criteria were used to determine subtypes of ischemic stroke patients. According to the duration from disease onset to hospital admission time, patients were assigned to 3 groups (Group I0 to 3 d, Group II4 to 7 d, Group III8 to 28 d) and the distribution of TOAST subtypes were compared among these three groups. Results: We collected 514 sets of clinical data from 10 oriental hospitals between May 2007 and September 2009. Small vessel occlusion (SVO) subtype was the most common (57.62%), followed by large artery atherosclerosis (LAA, 29.98%). Compared with TOAST distribution of KSR, the proportion of ischemic stroke patients with SVO subtype was higher than that of KSR. On the other hand the proportion of patients with stroke of undetermined etiology (SUE) was lower. Distributions of SVO, LAA and cardioembolism (CE) in group were I 66.4%, 23.8% and 8.9%, respectively; those in group IIIwere 51.03%, 34.71% and 11.57%, respectively. Conclusions: In oriental hospitals, the proportion of ischemic stroke patients diagnosed as SVO type was higher than that of KSR. At early stage (from onset to 2 d) proportion of SVO was very high, however after 7 days from onset it decreased with concomitant increases in proportions of LAA and CE. These phenomena may be due to the facts that 1) at early stage emergency treatments are limited in oriental hospitals, 2) after early stage many patients prefer oriental treatments, including rehabilitation.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.183-189
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• 2023

A stroke is a medical disease where a blood vessel in the brain ruptures, causes damage to the brain. If the flow of blood and different nutrients to the brain is intermittent, symptoms may occur. Stroke is other reason for loss of life and widespread disorder. The prevalence of stroke is high in growing countries, with ischemic stroke being the high usual category. Many of the forewarning signs of stroke can be recognized the seriousness of a stroke can be reduced. Most of the earlier stroke detections and prediction models uses image examination tools like CT (Computed Tomography) scan or MRI (Magnetic Resonance Imaging) which are costly and difficult to use for actual-time recognition. Machine learning (ML) is a part of artificial intelligence (AI) that makes software applications to gain the exact accuracy to predict the end results not having to be directly involved to get the work done. In recent times ML algorithms have gained lot of attention due to their accurate results in medical fields. Hence in this work, Stroke disease identification system by using Machine Learning algorithm is presented. The ML algorithm used in this work is Artificial Neural Network (ANN). The result analysis of presented ML algorithm is compared with different ML algorithms. The performance of the presented approach is compared to find the better algorithm for stroke identification.

• 동의생리병리학회지
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• 제23권6호
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• pp.1486-1490
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• 2009

To develop the diagnostic tool for Fire-heat pattern, we analyzed sensitivity and specificity of symptom signs to diagnose the Fire-heat pattern in stroke patients. Korean medicine doctor surveyed Fire-Heat of the symptoms for the Stroke(KSDS) case report form in stroke patients within 1 month of onset. The sensitivity of "more 1/5 in major sings and 2/11 in helpful sings", "more 2/5 in major sings and 2/11 in helpful sings", "more 3/5 in major sings and 2/11 in helpful sings", "more 1/5 in major sings and 3/11 in helpful sings" "more 2/5 in major sings and 3/11 in helpful sings" "more 3/5 in major sings and 3/11 in helpful sings" are respectively 93%, 59%, 33%, 80%, 53%, 32%. The specificity are respectively 93%, 59%, 33%, 80%, 53%, 32%. The sensitivity(59%) and specificity(80%) of "more 2/5 in major sings and 2/11 in helpful sings" that to be implanted.

• 대한한방내과학회지
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• 제31권4호
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• pp.752-762
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• 2010

Objective : In the present study, we investigated genetic distribution of eight single nucleotide polymorphisms of PON1 between Dampness and Phlegm and non Dampness and Phlegm pattern identification(PI) among Korean stroke patients. Materials and Methods : One hundred forty stroke subject without Dampness and Phlegm and fifty eight stroke subjects with Dampness and Phlegm were participated in this study. After informed consents, eight single nucleotide polymorphisms(SNPs) in PON1 of each subjects were identified by DNA sequencing and primer extension method and statistical analysis was performed to determine the significant difference between Dampness and Phlegm and non Dampness and Phlegm groups. Results : Among anthropometric characteristics and blood parameters, waist circumference and total cholesterol were significantly higher in Dampness and Phlegm. Among 8 SNPs of PON1, frequency of M allele and subjects with M allele in L55M SNP were significantly higher in Dampness and Phlegm group (p=0.0032 and p=0.0053, respectively) but subjects with T allele in C-2033T SNP were lower in Dampness and Phlegm group(p=0.0302). Effect of L55M and C-2033T on Dampness and Phlegm were 3.07% and 1.75%, respectively. Conclusion : Our results suggest that L55M SNP in exon and C-2033T in promoter region of PON1 maybe affect to Dampness and Phlegm pattern identification. However, further study should be carried out to find out the detailed mechanism how L55M and C-2033T can affect Dampness and Phlegm stroke patients.

• 대한한방내과학회지
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• 제30권4호
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• pp.813-820
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• 2009

Background : Static blood is a kind of etiological factor including stagnated blood and blood overflowed out of the vessels. It is one of the causes of stroke in oriental medicine. Objectives : The purpose of this study was to evaluate the static blood pattern and its indicators in stroke pattern diagnosis. Methods : For the standardization of pattern diagnosis in stroke, we set 5 patterns (Fire-heat, Dampness-phlegm, Static blood, Qi deficiency, Yin deficiency) and developed 61 indicators. Patients with a first-ever stroke, within 1 month after the onset of stroke. Two physicians checked the indicators independently. They then performed pattern diagnosis and rechecked the indicators which were referred to pattern diagnosis. If pattern identifications were diagnosed the same, it would confirm pattern identification. We examined the frequency of all indicators and referred indicators in static blood pattern patients. Results : In 859 patients, static blood pattern was shared by 24(2.8%). The indicators which affect static blood pattern were mainly rough pulse and bluish purple tongue, other indicators were not major effectors. Conclusion : This result shows that it is inconsistent to set up static blood pattern as a major pattern in stroke. Nevertheless, static blood is still a valuable concept in the clinical field. Other study methods will be required to establish the pattern diagnostic indicators for static blood pattern.

• Nuclear Medicine and Molecular Imaging
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• 제41권2호
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• pp.91-96
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• 2007

The measurement of pathologically low levels of tissue $pO_2$ is an important diagnostic goal for determining the prognosis of many clinically important diseases including cardiovascular insufficiency, stroke and cancer. The target tissues nowaday have mostly been tumors or the myocardium, with less attention centered on the brain. Radiolabelled nitroimidazole or derivatives may be useful in identifying the hypoxic cells in cerebrovascular disease or traumatic brain injury, and hypoxic-ischemic encephalopathy. In acute stroke, the target of therapy is the severely hypoxic but salvageable tissue. $^{18}F-MISO$ PET and $^{99}mTc-EC-metronidazole$ SPECT in patients with acute ischemic stroke identified hypoxic tissues and ischemic penumbra, and predicted its outcome. A study using $^{123}I-IAZA$ in patient with closed head injury detected the hypoxic tissues after head injury. Up till now these radiopharmaceuticals have drawbacks due to its relatively low concentration with hypoxic tissues associated with/without low blood-brain barrier permeability and the necessity to wait a long time to achieve acceptable target to background ratios for imaging in acute ischemic stroke. It is needed to develop new hypoxic marker exhibiting more rapid localization in the hypoxic region in the brain. And then, the hypoxic brain imaging with imidazoles or non-imidazoles may be very useful in detecting the hypoxic tissues, determining therapeutic strategies and developing therapeutic drugs in several neurological disease, especially, in acute ischemic stroke.