• Journal of Digital Contents Society
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• v.10 no.2
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• pp.327-332
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• 2009

In this paper, we propose the diagnosis system that can predict pet's state of health for pet lovers lacking a technical knowledge of dog-diseases. The proposed system deduces diseases of dogs from input symptoms by our database constructed with 105 kinds of diseases and symptoms. First, a disease is clustered by ART2, the self-learning method in neural network and secondly, the result values, outputs and the weight values clustered by the algorithm are stored to database. Finally, our system diagnoses the state of health by means of comparing the learned information of diseases with the input vectors of each symptom and the related results of questions on diseases. The correct information of diseases and symptom diagnosing is important to predict the state of health of dogs. Therefore, in this paper, the proposed system can manage symptoms and diseases efficiently by database and ART2. We ask veterinary specialist with the efficiency of our system. As a result, we could confirm the possibility as the auxiliary diagnosis system for dog diseases.

• Journal of Intelligence and Information Systems
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• v.13 no.1
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• pp.81-90
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• 2007

This paper shows an intelligent disease diagnosis system for public. Our system deals with 30 diseases and their typical symptoms selected based on the report from Ministry of Health and Welfare, Korea. Technically, the system uses a modified FCM algorithm for clustering diseases and the input vector consists of the result of user-selected questionnaires. The modified FCM algorithm improves the quality of clusters by applying symmetrically measure based on the fuzzy theory so that the clusters are relatively sensitive to the shape of the pattern distribution. Furthermore, we extract the highest 5 diseases only related to the user-selected questionnaires based on the fuzzy membership function between questionnaires and diseases in order to avoid diagnosing unrelated disease.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.428-434
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• 2015

A new tongue examination model by using color analysis according to the taste division of tongue. The proposed system consists of a tongue image acquisition in a predefined template, taste region segmentation, color distribution analysis and abnormality decision of tongue by color analysis using Hue-Saturation histograms and the part of a mobile application service. We divided 4 basic taste(bitter, sweet, salty and sour) regions and performed color distribution analysis targeting each region under HSI(Hue Saturation Intensity) color model. To minimize the influence of illumination, the histograms of H and S components only except U are utilized. Using the analyzed results, the abnormality is discriminated by the criteria of the histogram range of normal tongues. Finally, a self tongue diagnosis system which can be used anytime and anywhere on mobile environment.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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• pp.96-115
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• 2007

Background and Purpose: Electroencephalogram(EEG) is a multi-scaled signal consisting of several components of time series with different origins. Recently, because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to chaos theory, irregular signals of EEG can also result from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze correlation between the correlation dimension of EEG and psychological Test (TCI). Methods: Before and after moxibustion treatment, EEG raw data were measured by moving windows during 15 minutes. The correlation dimension(D2) was calculated from stabilized 40 seconds in 15 minutes data. 8 channels EEG study on the Fp, F, T, P was carried out in 30 subjects. Results: Correlation analysis of TCI test is calculated with deterministic non-linear data and stochastic non-linear data. 1. Novelty seeking in temperament is positive correlated with D2 of EEG on Fp. 2. reward dependence in temperament is positive correlated with D2 of EEG on T3,T4 and negative correlated with D2 of EEG on P3,P4. 3. self directedness in character is positive correlated with D2 of EEG on F4, P3. 4. Harm avoidance is negative correlated with D2 of EEG on Fp2, T3, P3. Conclusion: These results suggest that nonlinear analysis of EEG can quantify dynamic state of brain abolut psychological Test (TCI).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.779-791
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• 2021

Common web services have been continuously targeted by hackers due to an access control policy that must be allowed to an unspecified number of people. In order to cope with this situation, companies regularly check web vulnerabilities and take measures according to the risk of discovered vulnerabilities. The risk of these web vulnerabilities is calculated through preliminary statistics and self-evaluation of domestic and foreign related organizations. However, unlike static diagnosis such as security setting and source code, web vulnerability check is performed through dynamic diagnosis. Even with the same vulnerability item, various attack results can be derived, and the degree of risk may vary depending on the subject of diagnosis and the environment. In this respect, the predefined risk level may be different from that of the actual vulnerability. In this paper, to improve this point, we present a web vulnerability risk assessment model based on the attack result centering on the cyber kill chain.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.33 no.3
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• pp.73-81
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• 2022

Since dissociative identity disorder (DID) has symptoms similar to schizophrenia, such as auditory hallucinations and delusional thoughts of being controlled, there are difficulties in its differential diagnosis. A 16-year-old adolescent male patient who was previously diagnosed with schizophrenia from a different hospital was admitted to our inpatient psychiatric unit for the evaluation of auditory hallucinations and suicide attempts. Through psychiatric evaluations, it was determined that the patient suffered from identity alternation, dissociation, and amnesia. As for the diagnostic evaluations, the following measures were implemented: a psychiatric interview regarding the diagnostic criteria, mental status examination, laboratory tests, brain imaging studies, electroencephalography, and full psychological test for adolescents, and the self-reported measure of the Adolescent Dissociative Experiences Scale. The patient was diagnosed with DID, and the following treatments were administered: pharmacotherapy, ego state therapy, psychoeducation regarding emotions, trauma-focused psychotherapy including stabilization, and family therapy. Following treatment, in the internal dimensions, the patient was able to recognize the nine alternate identities in charge of his emotions, which established a basis for the potential integration of identities. In the external dimensions, he showed improvements in the aspects of family conflicts and issue of school refusal. This is the first reported case of DID in an adolescent in Korea; it emphasizes the consideration of DID in the differential diagnosis of other mental illnesses such as schizophrenia, bipolar disorder, and posttraumatic stress disorder and expands the treatment opportunities for DID by sharing the procedures of ego state therapy.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.6863-6870
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• 2015

Background: Breast cancer accounted for almost 25% of all cancers in women globally in 2012. Although breast cancer is the most prevalent cancer in India, there is no organised national breast cancer screening programme. Local studies on the burden of breast cancer are essential to develop effective context-specific strategies for an early detection breast cancer programme, considering the cultural and ethnic heterogeneity in India. This study examined the knowledge, attitudes, and practices about breast cancer in rural women in Central India. Materials and Methods: This community-based cross sectional study was conducted in Wardha district, located in Maharashtra state in Central India in 2013. The sample included 1000 women (609 rural, 391 urban) aged 13-50 years, selected as representative from each of the eight development blocks in the district, using stratified cluster sampling. Trained social workers interviewed women and collected demographic and socio-economic data. The instrument also assessed respondents' knowledge about breast cancer and its symptoms, risks, methods of screening, diagnosis and treatment, as well as their attitudes towards breast cancer and selfreported practices of breast cancer screening. Chi-square and t-test were applied to assess differences in the levels of knowledge, attitude, and practice (the outcome variables) between urban and rural respondents. Multivariable linear regression was conducted to analyse the relationship between socio-demographic factors and the outcome variables. Results: While about two-thirds of rural and urban women were aware of breast cancer, less than 7% in rural and urban areas had heard about breast self-examination. Knowledge about breast cancer, its symptoms, risk factors, diagnostic modalities, and treatment was similarly poor in both rural and urban women. Urban women demonstrated more positive attitudes towards breast cancer screening practices than their rural counterparts. Better knowledge of breast cancer symptoms, risk factors, diagnosis, and treatment correlated significantly with older age, higher levels of education, and being office workers or in business. Conclusions: Women in rural Central India have poor knowledge about breast cancer, its symptoms and risk factors. Breast self-examination is hardly practiced, though the willingness to learn is high. Positive attitudes towards screening provide an opportunity to promote breast self-examination.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.85-99
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• 2014

Recently youth problems such as school violence and bullying are becoming increasingly lower age. In order to overcome this situation highlights the importance of education and the emotions, which in analyzing the existing mobile app, only the most fun-oriented approach has been made and the information presented. It focuses on the emotion awareness and empathy abilities of learners diagnosis, training, application can be made at the level of educational mobile app prototype was developed. First, self-understanding, self-expression, others-understanding, and empathy of emotional competency derived from review of emotional awareness skills training programs. Second, by analyzing the existing emotion recognition app macro-principles and micro-strategy of mobile app's designs were derived. Third, accordi was conducted on prototype of storyboard and app the completed prototype was completed. The proposed app is a fun and learning by doing, also Depending on students' level of performance can be customized. The proposed mobile app is efficient and effective, engaging learning space as a systematic training in the diagnosis and the emotions through the elementary students will be able to improve emotional awaeness competency.

• Child Health Nursing Research
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• v.6 no.2
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• pp.249-261
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• 2000

The purpose of this study were to identify the quality of life for the mothers of hospitalized chronic pediatric patients, and to explore the factors affecting the QOL of those mothers. The subjects were 201 mothers whose children had hospitalized at one University hospital with chronic diseases. Data were collected from the December, 1997 to December, 1998. We used a revised QOL instrument consisting of 34 items, 5 point likert scale based on the Noh's QOL instrument. The revised QOL consists of six subscales, those are physical status and function, self esteem, emotional status, economic status, relationship with family members, and relationship with neighborhood. Data were analyzed by t-test, ANOVA, Pearson's correlation using SPSS-PC. The results were as follows: 1. The mean score of quality of life for the mothers of chronic pediatric patients was 100.31, and item mean was 2.95. In subscale analysis, item mean of economic status was the lowest, and that of relationship with family members was the highest. 2. Correlations between characteristics of chronic pediatric patients, their mothers and QOL of mothers were as follows; 1) Total QOL of mothers had a significant positive relationship with progressing time relapse after diagnosing and age of mothers. There was a significant negative relationship between the total QOL of mothers and number of hospitalization of their children. 2) QOL on self esteem and economic status had a significant relationship with age of pediatric patients, the time relapse after diagnosis, and age of mothers. Total number of family members and QOL on economic status showed a significant positive relationship. QOL on emotional status, economic status, and relationship with family members of mothers showed negative correlations with the number of hospitalization of their children. 3. Followings were the result of difference in QOL among different demographic cha- racteristics of the subjects. 1) QOL on economic status of mothers was significantly higher when fathers of pediatric patients had jobs. 2) Total QOL score, QOL on emotional status, and QOL on relationship with neighborhood were significantly higher when mothers of pediatric patients had spouses. 3) QOL on self esteem of mothers was significantly higher when mothers had religion. 4. Followings were the result of difference in QOL among different diagnosis of the children. 1) Total QOL score of mothers whose children had congenital heart disease was higher than that of mothers whose children had leukemia and cancer. 2) QOL on emotional status, economic status, and relationship with family members of mothers whose children had congenital heart disease were higher than those of mothers whose children had leukemia, cancer, and epilepsy.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.477-493
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• 2005

The cause of the eating disordered diet, which is a main topic of this study, has not been identified clearly, however, has been affected by an emphasis of western norm of a beauty - being tall and skinny - since the eighties. Another reason would be his/her lack of self-confidence and willingness to resolve his/her unsatisfied mental problem. There are two different of eating disordered diets; anorexia nervosa, bulimia nervosa. firstly, a patient of anorexia nervosa which is characterized by the loss in weight, tends to either deny meals, due to his/her desire to be skinny and a fear of gaining the weight. Secondly, a patient of bulimia nervosa eats much more food than an ordinary person does in around two hours and then removes them by doing vomiting with drugs. obesity is defined as overweight by $20\%$ and more than normal weight. In this case, body mass index(BMI) defined by the ratio of the weight(kg) to the height(m') is used. BMI = Weight(kg) / Height(m) In this paper, a list of questioneire for an adolescent to self-diagnosis the possibility of his/her eating disorder diet is identified and then a multi-media system which incorporates the list is designed and implemented with ASP language as a server language on a local host.