• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.515-521
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• 2004

Categorical data are mostly found in oriental medical research. The nonlinear canonical correlation analysis does not assume an interval level of measurement. In this paper, we apply nonlinear canonical correlation analysis to quantification and explain how similar sets of variables are to one another for paralysis disease data.

• Annals of Clinical Neurophysiology
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• v.8 no.2
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• pp.135-145
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• 2006

Background: Parkinson's disease is movement disorder due to dopaminergic deficiency. It has been noted that cognitive dysfunction also presented on Parkinson's disease patients. But, it is not clear whether such a cognitive dysfunction was a dopaminergic dysfunction or cholinergic dysfunction. Using linear and non-linear analyses, we analysed the effect of cognitive and motor symptom on EEG change. Methods: EEGs were recorded from patients with Parkinson's disease and essential tremor, and normal controls during rest. We calculated the power spectrum, correlation dimension and Lyapunov exponent by using 'Complexity'program. The power spectrum, correlation dimension, and Lyapunov exponent were compared between Parkinson's disease patients and essential tremor patients. Results: Theta power was increased in Parkinson's disease patient group. Correlation dimension was increased in Parkinson's disease patients. Positive correlation was noted between MMSE and correlation dimension, and negative correlation was noted between MMSE and Lyapunov exponent. Lyapunov exponent was decreased in Parkinson's disease patient. Conclusions: We conclude that the state of Parkinson's disease patient is characterized by increased correlation dimension and decreased Lyapunov exponent.

• Journal of Sasang Constitutional Medicine
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• v.33 no.1
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• pp.1-21
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• 2021

Objective The purpose of this study was to examine the correlation between the Cold-damage Six-meridian disease of Qibo (岐伯六經病證) and Sasang Constitutional Symptomatology (四象體質病證), presented in Discourse on the Origin of Eastern Medicine (醫源論) of Longevity and Life Preservation in Eastern Medicine (Donguisusebowon, 東醫壽世保元). Method The process of development from Cold-damage Six-meridian disease of Qibo (岐伯六經病證) to Six Meridians Physical Symptoms and Medicines (六經形證用藥) in the chapter Cold(寒門) of the Treasure Mirror of Eastern Medicine (Donguibogam, 東醫寶鑑) was investigated. And the correlation between Six Meridians Physical Symptoms and Medicines (六經形證用藥) and Sasang Constitutional Symptomatology (四象體質病證) was considered. Results and Conclusions 1. The Cold-damage Six-meridian disease of Qibo (岐伯六經病證) in the chapter Heat Treatise (熱論篇) of Basic Questions (素問) had evolved into Six Meridians Physical Symptoms and Medicines (六經形證用藥) in the chapter Cold(寒門) of the Treasure Mirror of Eastern Medicine (Donguibogam, 東醫寶鑑) through Book for Life Saving (Huorenshu, 活人書), a work of Zhu Gong (朱肱), Six Books on Cold Damage disease (Shanghanliushu, 傷寒六書), a work of Tao Hua (陶華) and Introduction to Medicine (YixueRumen, 醫學入門), a work of Li Chan (李梴). 2. The correlation between the Cold-damage Six-meridian disease of Qibo (岐伯六經病證) and Sasang Constitutional Symptomatology (四象體質病證) can be analyzed and understood through Six Meridians Physical Symptoms and Medicines (六經形證用藥) in the chapter Cold(寒門) of the Treasure Mirror of Eastern Medicine (Donguibogam, 東醫寶鑑). 3. Greater Yang meridian disease of Qibo (岐伯) is related to Soyangin early stage of Lesser-Yang Wind-Injury symptomatology and Soyangin early stage of Chest-Heat symptomatology, Yang Brightness meridian disease and Greater Yin meridian disease to Taeeumin Liver-Heat symptomatology, Lesser Yin meridian disease to Soyangin Chest-Heat symptomatology, Lesser Yang meridian disease to Soyangin early stage of Lesser-Yang Wind-Injury symptomatology and Reverting Yin meridian disease to Soeumin Reverting Yin symptomatology of Greater Yang disease.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.247-256
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• 2016

This paper proposes Context-Awareness Healthcare for Disease Reasoning based on Fuzzy Logic. It consists of a Fuzzy-based Context-Awareness Module (FCAM) and a Fuzzy-based Disease Reasoning Module (FDRM). The FCAM computes a Correlation coefficient and Support between a Condition attribute and a Decision attribute and generates Fuzzy rules by using just the Condition attribute whose Correlation coefficient and Support are high. According to the result of accuracy experiment using a SIPINA mining tool, those generated by Fuzzy Rule based on Correlation coefficient and Support (FRCS) and Improved C4.5 are 0.84 and 0.81 each average. That is, compared to the Improved C4.5, the FRCS reduces the number of generated rules, and improves the accuracy of rules. In addition, the FDRM can not only reason a patient’s disease accurately by using the generated Fuzzy Rules and the patient disease information but also prevent a patient’s disease beforehand.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.300-308
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• 2018

Objectives: Prompt detection is a cornerstone in the control and prevention of infectious diseases. The Integrated Disease Surveillance Project of India identifies outbreaks, but it does not exactly predict outbreaks. This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction of outbreaks or epidemics. Methods: The Google search queries related to malaria, dengue fever, chikungunya, and enteric fever for Chandigarh union territory and Haryana state of India in 2016 were extracted and compared with presumptive form data of the IDSP. Spearman correlation and scatter plots were used to depict the statistical relationship between the two datasets. Time trend plots were constructed to assess the correlation between Google search trends and disease notification under the IDSP. Results: Temporal correlation was observed between the IDSP reporting and Google search trends. Time series analysis of the Google Trends showed strong correlation with the IDSP data with a lag of -2 to -3 weeks for chikungunya and dengue fever in Chandigarh (r > 0.80) and Haryana (r > 0.70). Malaria and enteric fever showed a lag period of -2 to -3 weeks with moderate correlation. Conclusions: Similar results were obtained when applying the results of previous studies to specific diseases, and it is considered that many other diseases should be studied at the national and sub-national levels.

• Journal of radiological science and technology
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• v.46 no.4
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• pp.303-313
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• 2023

This study aimed to investigate the relevance of cardiovascular disease risk factors AI and AIP, divided into three groups, among 300 individuals who underwent health checkups at the hospital. Various variables such as Age, Sex, BMI, WC, TC, TG, HDL-C, LDL-C, FBS, HbA1C, SBP, DBP, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were analyzed using statistical methods including frequency analysis, cross-tabulation, one-way ANOVA, Pearson's correlation analysis, and multiple linear regression analysis. The cross-analysis based on cardiovascular disease risk criteria revealed that men and individuals in their 50s had higher cardiovascular disease risk based on AI and AIP. Significant differences were observed in TG, TC, HDL-C, LDL-C, SBP, DBP, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) according to AI criteria. For the AIP criteria, TG, TC, HDL-C, FBS, HbA1C, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were identified as cardiovascular disease risk factors. FBS and HbA1c showed the highest positive correlation In the correlation analysis, followed by TC and LDL-C. The lowest positive correlation was observed between LDL-C and DBP. In terms of negative correlation, HDL-C and AI had the highest negative correlation, while LDL-C and TG showed the lowest negative correlation. Multiple regression analysis indicated that the AI and AIP risk criteria had explanatory powers of 73.6% and 72.5%, respectively. HDL-C had the greatest negative effect on the AI risk criterion, while TG had the most significant influence on the AIP risk criterion. In conclusion, while other serological variables are important, managing HDL-C and TG levels may help reduce the risk of cardiovascular disease.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.2
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• pp.23-34
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• 2017

Objectives : The aim of this study was to survey the present utilization of pattern identification(PI) by chronic disease and using PI system in the clinical field among Korean medicine doctors. Methods : This survey was conducted from Oct. 1 to Oct. 31, 2014 by face-to-face interview using structured questionnaire. The subjects were 400 Korean medicine doctors who worked in hospitals or clinics. The questionnaire consisted of whether use clinical experience by chronic disease and the utilization of PI, the utilization of PI systems, the PI utilization rate, and the correlation between utilization PI and so on. General elements consisted of sex, age, clinical experience, place of work, district and so on. Results and Conclusions : This study revealed that clinical experience by chronic disease used 24.0-90.8%. The most chronic diseases were chronic fatigue and chronic pain, and least disease was cancer. Experience of the utilization of PI among Korean medicine doctors who have clinical experience was 87.8-97.1%. Also, the most utilized disease was chronic gastritis & gastric ulcer, and least disease was dyslipidemia. In this case, the most common cases were using the one PI between the utilization of PI systems, and the utilization ratio of Visceral PI was the highest. Phi coefficient between the PI systems in chronic diseases divided into positive correlation and negative correlation. The correlation of dementia between Triple energizer PI and Six excesses PI was the highest at positive correlation, and the frequency of occurrence between Defense, Qi, Nutrient and Blood PI was the highest at positive correlation. The correlation of osteoarthropathy between Meridian and Collateral PI and Sasang Constitutional Medicine was the highest at negative correlation. Also the frequency of occurrence between Qi, Blood, Fluid and Humor PI and Sasang Constitutional Medicine was the highest at negative correlation. We hope that additional studies on systematic PI research of chronic disease which needed to be in korean oriental medicine and meet the needs of clinical consumer continue based on this study.

• The Journal of Korean Obstetrics and Gynecology
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• v.19 no.3
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• pp.203-213
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• 2006

Purpose : This study was carried out to evaluate correlation between Bone Mineral Density(BMD) and degenerative lumbar disease in postmenopausal low back pain patients. Methods : 69 postmenopausal patients with low back pain were examined. Magnetic resonance imaging was performed to evaluate degenerative lumbar disease and bone mineral density of lumbar spine was measured by Dual energy X-ray absorptiometry. Data were analyzed by Pearson's Linear Correlation Coefficient. Results : In postmenopausal patients with low back pain, BMD(T-score, Z-score) had negative correlation with the grade of intervertebral disc herniation and positive correlation with weight. Other lumbar diseases including Spinal stenosis, Spondylolisthesis and Facet joint arthrosis didn't have significant correlation with BMD. Conclusion : In postmenopausal patients with low back pain, BMD(T-score, Z-score) had inverse relationship with the grade of intervertebral disc herniation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.103-108
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• 2019

The purpose of this study is to identify the factors that may affect the 5-year survival of colon cancer through network model and to use it as a clinical decision supporting system for colorectal cancer patients. This study was conducted using data from 2,540 patients who underwent colorectal cancer surgery from 1996 to 2018. Eleven factors related to survival of colorectal cancer were selected by consulting medical experts and previous studies. Analysis was proceeded from the data sorted out into 1,839 patients excluding missing values and outliers. Logistic regression analysis showed that age, BMI, and heart disease were statistically significant in order to identify factors affecting 5-year survival of colorectal cancer. Additionally, a correlation analysis was carried out age, BMI, heart disease, diabetes, and other diseases were correlated with 5-year survival of colorectal cancer. Sex was related with BMI, lung disease, and liver disease. Age was associated with heart disease, heart disease, hypertension, diabetes, and other diseases, and BMI with hypertension, diabetes, and other diseases. Heart disease was associated with hypertension, diabetes, hypertension, diabetes, and other diseases. In addition, diabetes and kidney disease were associated. In the correlation analysis, the network model was constructed with the Network Correlation Coefficient less than p <0.001 as the weight. The network model showed that factors directly affecting survival were age, BMI levels, heart disease, and indirectly influencing factors were diabetes, high blood pressure, liver disease and other diseases. If the network model is used as an assistant indicator for the treatment of colorectal cancer, it could contribute to increasing the survival rate of patients.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.415-421
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• 2011

Currently, various diseases reside in Korean swine farms and affect production performance of the farms greatly. These damages from disease are further aggravated by the concurrent infection of other disease. In this study, y investigating the distribution of porcine reproductive and respiratory syndrome virus (PRRSV), porcine circovirus type 2 (PCV2), Salmonella spp. in farms, correlation between the damage and the prevalence of disease was analyzed. Ten selected Korean swine farms that uses PCV2 vaccine were tested for presence of antibody and antigen of PRRSV, PCV2, Salmonella spp. per ages of pigs, 4weeks, 7weeks, 11weeks and 17weeks, respectively. The results were analyzed by dividing the farms in to groups with MSY above 19, and that with MSY below 19. Then calculating the distribution of disease each ages of pigs. Farms with MSY below 19 showed high prevalence of disease by PRRSV, PCV2 and Salmonella spp.. In this group, the detection rate of PCV2 and Salmonella spp. was increased by the activation/viremia of PRRSV in the young ages of pigs. The results are proved that the correlation between disease prevalence and production performance in Korean swine farms were very significant. The prevalence of PRRSV is more important index which influence to the productivity in current prevalence of diseases.