• Journal of Yeungnam Medical Science
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• v.28 no.1
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• pp.1-12
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• 2011

Primary liver carcinomas have classified classified into hepatocellular carcinoma, cholangiocarcinoma, and combined hepatocellular-cholangiocarcinoma (CHC). CHC is a tumor containing unequivocal, intimately mixed elements of both hepatocellular carcinoma and cholangiocarcinoma. It forms a small but significant proportion of primary liver carcinomas. The origin and pathogenesis of CHC have not been well established. According to the 2010 WHO classification, CHCs are categorized into 2 groups: the classical type and a subtype with stem cell features. This review describes recent progress in pathology and classification of CHC.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.2
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• pp.209-214
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• 2002

At this paper, I classified ‘tetanus’ in 『DongEuiBoGam』 and studied the concept, causes, symptoms, pathological mechanisms of that disease and then I had a new understanding that concept of tetanus in 『DongEuiBoGam』 is different with concept of tetanus in Western Medicine. In the mean time, I investigated the classification in 「Classification of Korean Standard Cause of Death(Oriental Medicine)」 (1995, The Korean Economic Planning Board), and concluded the concept of tetanus in "DongEuiBoGam".

• Journal of Sasang Constitutional Medicine
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• v.22 no.3
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• pp.87-97
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• 2010

1. Objectives: In SCM, a personal Sasang constitution must be determined accurately before any Sasang treatment. The purpose of this study is to develop an objective method for classification of Sasang constitution. 2. Methods: We collected samples from 5 centers where SCM is practiced, and applied two-stage decision tree analysis on these samples. We recruited samples from 5 centers. The collected data were from subjects whose response to herbal medicine was confirmed according to Sasang constitution. 3. Results: The two-stage decision tree model shows higher classification power than a simple decision tree model. This study also suggests that gender must be considered in the first stage to improve the accuracy of classification. 4. Conclusions: We identified important factors for classifying Sasang constitutions through two-stage decision tree analysis. The two-stage decision tree model shows higher classification power than a simple decision tree model.

• The Journal of Internal Korean Medicine
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• v.27 no.4
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• pp.905-914
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• 2006

Background and Purpose : The purpose of this study was to classify according to the TOAST classification (Trial of Org 10172 in Acute Stroke Treatment) acute stroke patients (first-ever stroke) treated at the Department of Internal Medicine of Kyungwon University In-cheon Oriental Medical Hospital. Methods : In the time period Oct. 2005 to Oct. 2006. 101 patients with a first-ever stroke admitted to the Department of Internal Medicine of Kyungwon University In-cheon Oriental Medical Hospital were included. Patients were hospitalized within 14 days after the onset of stroke. They had neurological deficits for a time more than 24 hours. We classified patients according to the original TOAST classification (Trial of Org 10172 in Acute Stroke Treatment) Results : The incidence in males was 54.4%, in females was 45.6%. Ischemic stroke (86.l%) was more common than hemorrhagic stroke (13.9%). The results of TOAST classification in this study were as follows: small-vessel occlusion, 72.4% large-artery atherosclerosis. 14.9 % cardioembolism, 4.6% stroke of other determined etiology, 4.6%: stroke of undetermined etiology, 3.5%. Patients in the small-vessel occlusion subgroup in this study were the most frequent. The result of this study is that Korean stroke registry is not in accordance with western medicine. Conclusions : The TOAST classification system is the most widely accepted tool to categorize stroke subtypes in western medicine, but in oriental medicine, it is not yet widely accepted. The authors suggest the general use of the TOAST classification to determine adequate management for stroke patients, to predict the prognosis and recurrence of stroke and to develop a Korean standard of stroke in oriental medicine.

• Journal of Korean Foot and Ankle Society
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• v.11 no.2
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• pp.130-134
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• 2007

Purpose: To investigate the relationship between classification based on simple radiographic findings and arthroscopic findings of the cartilage lesions in medial degenerative arthritis of the ankle joint. Materials and Methods: We studied 41 ankles of 36 patients with asymmetrical narrowing of the medial joint space. Degenerative arthritis following fracture and those with generalized arthritic disease were excluded, but those with a history of ankle sprain were included. Standing radiographs of all patients were graded according to the Takakura classification and the Kellgren-Lawrence (K/L) classification. Arthroscopic findings were classified according to the depth, width, and anteroposterior dimension of articular cartilage damage. Results: According to the Takakura classification, 29 ankles were classified as stage II, 7 cases as stage IIIA and 2 cases as stage IIIB. According to our classification of arthroscopic findings of 29 ankles in stage II, 1 ankle was graded as Grade I, 3 ankles as grade II, 10 ankles as grade III, and 15 ankles as grade IV. Spearman correlation coefficient between Takakura classification and arthroscopic classification was 0.342 (P=0.028), and coefficient between K/L classification and arthroscopic classification was 0.480 (P=0.001). Conclusion: Degenerative changes of the articular cartilage are more advanced than radiographic findings in many patients with ankle degenerative arthritis with asymmetrical narrowing of medial joint space. Therefore, we conclude that more aggressive effort should be made for correct diagnosis and treatment of degenerative arthritis.

• Journal of Sasang Constitutional Medicine
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• v.30 no.3
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• pp.40-47
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• 2018

Objectives The purpose of this study is to analyze the factors contributing to the classification of Sasang Constitution using Sasang Constitutional Analysis Tool 2. Methods A total of 99 subjects were assessed for the classification of Sasang Constitution using four measurement factors (face, voice, body shape, and questionnaire information) of Sasang Constitutional Analysis Tool 2. Results Taeeumin had significantly higher body weight and BMI. In the result of the agreement between the judgment of the four measurement factors and the final judgment of Sasang Constitution, the agreement degree of Soeumin was the highest value of 2.6. Taeeumin, Soeumin, and Soyangin showed the highest agreement with the individual judgment of face, body shape and questionnaire, and body shape, respectively. Conclusions It is difficult to conclude that any individual factor contributes significantly to the classification of Sasang Constitution. Further study on Sasang Constitutional Analysis Tool 2 involving more peoples is needed in order to determine the factors contributing to the classification of Sasang Constitution.

• Journal of Digestive Cancer Research
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• v.7 no.1
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• pp.8-12
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• 2019

Despite its declining incidence, gastric cancer is globally, still, the third most common cause of cancer-related mortality. Gastric cancer is a heterogeneous disease with diverse pathogenesis and molecular backgrounds. Therefore several systems have been proposed to aid in the classification of gastric adenocarcinoma based on the macroscopic, microscopic and anatomical features of the tumor. However, these classifications did not reflect the pathogenesis of the disease. Recently, genomic analysis has identified several subtypes of gastric adenocarcinoma and a detailed understanding of the molecular biology behind the neoplastic phenotype is possible to develop of more effective therapies. We will describe the existing various classification of gastric cancer and the recently introduced molecular biology and immunological classification.

• Journal of Korean Library and Information Science Society
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• v.18
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• pp.139-192
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• 1991

Though the computer has become deeply entrenched as the major tool in information processing(library works), it may be obvious that automatic book classification techniques ate still under experimentation, and the techniques have not yet been tested against the criterion of usefulness. The purpose of this study is to design of knowledge base for automatic book classification which can be put to use in library operation, and to present a methodology of application of the automatic classification into the library. Since the enumerative classification schemes which are existing are manual systems, it cannot be applied to the automatic classification, the principle of faceted classification based on concept analysis is brought in and studied. The result of this study are summarized as follows : 1. The design of knowledge base confined the field of agriculture and medicine. 2. If title is entered by the computer keyboard it will be searched in knowledge base, and then be classified by the principle of automatic classification. 3. Program flowcharts are designed as a bases of classification procedures for automatic subject recognition and classification. 4. 283 books in agriculture, 196 books in medicine were drawn at random from Taegu University Library and Young-Nal Medical Center Library respectively. 5. The experiment of automatic classification is performed 143 books in agriculture 166 books in medicine except for other subject books. 6. It was proved that automatic book classification is possible by design of knowledge base. In addition the expected values from design of knowledge base for automatic book classification are as follows : 1. The prompt and accurate process of classification is possible. 2. Though some title is classified in any library, it can be classified the some classification number by a program. 3. The user can retrieve the classification codes of books for which he or she wants to search through the computer. 4. Since the concept coordination method is employed the representing of a multisubject concept is make simple. 5. By performing automatic book classification the automation of total system can be achieved. 6. The efficient international information transfer will be advanced since all the institution maintain unified classification number.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.4
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• pp.383-390
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• 2013

In order to improve the integrating accuracy and to elevate the serviceability of the KM(Korean Medicine) ontology constructed by the Korea Institute of Oriental Medicine, this research simplified the many-to-many corresponding relationship between groups of methods of treatment and groups of accompanied symptoms from disease ontology and categorized systematically the relationship. We first extracted the combinations of methods of treatment and accompanied symptoms from the KM ontology, then categorized the attributes of combinations that their frequencies were over 10 times by analyzing KM terms definition and the basic KM theory. We constructed the classification hierarchy having 14 kinds of classification in 4 steps and extracted 450 meaningful combinations. This research improved the integrating accuracy and elevated the serviceability of KM information by the classification system.

• The Journal of Korean Medicine
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• v.44 no.4
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• pp.136-149
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• 2023

Objectives: Facial diagnosis is an important part of clinical diagnosis in traditional East Asian Medicine. In this paper, we proposed a model to quantitatively classify cold sensitivity using a fully automated facial image analysis system. Methods: We investigated cold sensitivity in 452 subjects. Cold sensitivity was determined using a questionnaire and the Cold Pattern Score (CPS) was used for analysis. Subjects with a CPS score below the first quartile (low CPS group) belonged to the cold non-sensitivity group, and subjects with a CPS score above the third quartile (high CPS group) belonged to the cold sensitivity group. After splitting the facial images into train/validation/test sets, the train and validation set were input into a convolutional neural network to learn the model, and then the classification accuracy was calculated for the test set. Results: The classification accuracy of the low CPS group and high CPS group using facial images in all subjects was 76.17%. The classification accuracy by sex was 69.91% for female and 62.86% for male. It is presumed that the deep learning model used facial color or facial shape to classify the low CPS group and the high CPS group, but it is difficult to specifically determine which feature was more important. Conclusions: The experimental results of this study showed that the low CPS group and the high CPS group can be classified with a modest level of accuracy using only facial images. There was a need to develop more advanced models to increase classification accuracy.