• Anxiety and mood
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• v.1 no.1
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• pp.18-24
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• 2005

The Diagnostic and Statistical Manual 4th edition (DSM-IV) has been widely accepted and used for international classification of mental disorder. The DSM has been changed to improve diagnostic reliability and validity through descriptive and categorical approaches which was undertaken atheoretically. The authors reviewed current studies about the DSM-IV classification system and the diagnostic issues of representative categories of anxiety disorder. The authors concluded that the anxiety disorder classification system in DSM-IV has limitations such as a lack of empirical consideration for overlapping features of anxiety disorders and a lack of discriminant validity. To improve diagnostic validity and revise the current DSM-IV classification system, the authors suggested 1) more longitudinal studies for collecting empirical evidence, 2) decreasing the dependence upon operational criteria, 3) deceasing diagnostic boundary blurring, 4) developing disease specific biological diagnostic techniques and 5) continued collaboration between the DSM and International Classification of Diseases (ICD) systems.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5593-5596
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• 2014

Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.81-88
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• 2017

In this paper, we classified the weaknesses of C/C++ programs listed in CWE based on the diagnostic information produced at each stage of program compilation. Our classification identifies which stages should be responsible for analyzing the weaknesses. We also present algorithmic frameworks for detecting typical weaknesses belonging to the classes to demonstrate validness of our scheme. For the weaknesses that cannot be analyzed by using the diagnostic information, we separated them as a group that are often detectable by the analyses that simulate program execution, for instance, symbolic execution and abstract interpretation. We expect that classification of weaknesses, and diagnostic information accordingly, would contribute to systematic development of static analyzers that minimizes false positives and negatives.

• 대한상한금궤의학회지
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• v.14 no.1
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• pp.41-50
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• 2022

Objective : The purpose of this study is to explore the most suitable machine learning model algorithm for Shanghanlun diagnostic system classification using natural language processing (NLP). Methods : A total of 201 data items were collected from 『Shanghanlun』 and 『Clinical Shanghanlun』, 'Taeyangbyeong-gyeolhyung' and 'Eumyangyeokchahunobokbyeong' were excluded to prevent oversampling or undersampling. Data were pretreated using a twitter Korean tokenizer and trained by logistic regression, ridge regression, lasso regression, naive bayes classifier, decision tree, and random forest algorithms. The accuracy of the models were compared. Results : As a result of machine learning, ridge regression and naive Bayes classifier showed an accuracy of 0.843, logistic regression and random forest showed an accuracy of 0.804, and decision tree showed an accuracy of 0.745, while lasso regression showed an accuracy of 0.608. Conclusions : Ridge regression and naive Bayes classifier are suitable NLP machine learning models for the Shanghanlun diagnostic system classification.

• Phonetics and Speech Sciences
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• v.14 no.2
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• pp.87-99
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• 2022

A review regarding indicators used in Korean research is needed to develop a diagnostic marker system for Korean children with speech sound disorders (SSD). This literature review examined the research conducted to reveal the characteristics of children with SSD of unknown origin in Korea. The researchers in Korea used diverse variables as indicators to identify the natures of children with SSD. These included indicators related to external characteristics of speech sound and comorbid features other than external aspects of speech sound. The attention has been focused on specific indicators so far. This result implies that some indicators may still require closer study in various aspects due to their influence, and some may require more attention due to the limited number of research. This article argues that more research is necessary to comprehensively describe the unique characteristics of children with SSD of unknown origin and suggests a direction for future research regarding diagnostic markers and subtype classification of SSD. It also proposes potential diagnostic markers and a set of assessments for the subtype classification of SSD.

• Journal of Acupuncture Research
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• v.27 no.1
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• pp.31-41
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• 2010

Objectives : The purpose of this study is to set up the standard for Classification and Diagnosis of Low Back Pain by through collecting bibliographic study on Low Back Pain and related general symptoms in classical literatures Methods : We investigated the contents of classical literatures about chronic low back pain and related general symptoms. With this contents, we established a systemic classification and diagnostic standard for Low back pain. Results : There are many different opinions on classification of low back pain and general symptoms in oriental medicine classical literature. Every opinion is reasonable, so it is difficult to establish a diagnosis of Low back pain. But it is necessary to set up the one-systemic classification and diagnostic technique of Low back pain. Conclusions : We conclude that the Ten type Low back pain classification of in Dong-Eui-Bo-Gam is a reasonable standard for diagnostic classification.

• Journal of Sasang Constitutional Medicine
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• v.7 no.2
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• pp.89-100
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• 1995

This study was conducted for the purpose of finding out an objective classification method for Sasang Constitutional medicine, which divides people into 4 groups of constitution and presents comprehensively physiology, pathology, diagnosis, therapy and recuperation regarding each constitution. Questionnaire of Sasang Constitution Classification(I) was administered to 328 inpatients at Kyung Hee Oriental Medicine Hospital. Data was collected during 10 months from June 1994 to Mar. 11, 1995. For the purposes of this study, the collected data was analyzed by crosstabs, variation analysis, and discrimination analysis. The analyzing program was SPSS PC+V4.0. For the purposes of this study, the collected data was analyzed by crosstabs, cariation analysis, and discrimination analysis. The analyzing program was SPSS PC+V4.0. The results were as follows : 1. There was significant differences of each group scales through variation analysis. The questions of each group had Sasang constitutional diagnostic discrimination abilities 2. The diagnostic discrimination abilities(Hit-ratio=56.10%) of the Questionnaire for Sasang Constitution Classification(I) were found to have over 20% improvement than the propotional chance criteria(33.3%), Especially, Hit-ratio for $So{\breve{u}}m$-In(63%) was higher than that of SoYang-In(55%) and $Ta{\breve{e}}um$-In(56.3%). 3. Through discrimination analysis on good questions of each group, the diagnostic discrimination abilities of the Questionnaire for Sasang Constitution Classification(I) was 57.93%. 4. This would be on the ground that the Questionnaire for Sasang Constitution Classification(I) could be used as a tool for Sasang constitution classification.

• Journal of The Korean Radiological Technologist Association
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• v.27 no.2
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• pp.124-136
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• 2001

Endorectal sonography can be used for staging the lower rectal tumors. Also can be applied for the classification of perianal fistula & identification of anal sphincters defects in patients with faecal incontinence. In the treatment of lower rectal cancer

• Journal of Preventive Medicine and Public Health
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• v.29 no.4 s.55
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• pp.877-897
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• 1996

In recent years, the Korean Medical Association has undertaken the feat of establishing the Korean Standard Terminology of Medical Procedures with the dedicated help of 32 medical academic societies. However, because the project is being conducted by several different circles, it has yet to see a clear system of classification. This thesis, therefore, proposes the three principles of scientific properties, usefulness and ideology as the basis for classification system and has developed the Classification System of Medical Procedures in Korea upon their foundation. The methodology and organization of this thesis as follows. First, by adopting scientific classification system of Feinstein(1988), an analysis of the classification systems of the medical procedures in the United States, Japan, Taiwan, WHO was carried out to reveal the framework and the basic principles in each system. Second, the direction of classification system has been constructed by applying the normative principle of medical field in order to show the future direction of the medical field and realize its ideology. Third, a finalized framework for the classification system will be presented as based on the direction of classification system. Of the three basis principles mentioned above, the analysis on the principles of usefulness was left out of this thesis due to the difficulty of establishing specific standards of analysis. The results of the study are as follows. The overall structure of the thesis is aimed at showing the 'Prevention-Therapy-Rehabilitation' quality of comprehensive health care and consists of six chapters; I. Prevention and Health Promotion II. Evaluation and Management III. Diagnostic Procedures IV. Endoscopy V. Therapeutic Procedures VI. Rehabilitation Chapter three Diagnostic Procedures is divided into four parts : Functional Diagnosis, Visual Diagnosis, Pathological Diagnosis, Biopsy and Sampling. Chapter five Therapeutic Procedures is divided into Psychiatry, Non-Invasive Therapy, Invasive Therapy, Anaesthesia and Radiation Oncology. Of these sub-divisions, Functional Diagnosis, Biopsy and Sampling, Endoscopy and Invasive Therapy employs the anatomical system of classification. On the other hand, Visual Diagnosis, Pathological Diagnosis, Anesthesia and Diagnostic Radiology, namely those divisions in which there is little or no overlapping in services with other divisions, used the classification system of its own division. The classification system introduced in this thesis can be further supplemented through the use of the cluster analysis by incorporating the advice and assistance of other specialists.

• Journal of The Korean Radiological Technologist Association
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• v.28 no.1
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• pp.61-66
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• 2002

Purpose : This study presents a new classification of gastroesophageal reflux to evaluate the patients with Gastroesophageal reflux disease after barium contrast reflux exam to help making the correct diagnosis and Treatment according to the symptoms and