• Journal of Nutrition and Health
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• 제23권7호
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• pp.504-512
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• 1990

In experiment 1, dietary self-selection of the 3 macronutrients, protein, fat, and carbohydrate were examined in male rats given 3 food cups of 80% carbohydrate, 80% protein, and 70% fat diets simultaneously. All the rats showed normal growth pattern and organ weight, which means they have ability to select just right kinds and amounts of nurients in order to support their growth and development. Mean values of caloric intake, body weight gain, serum lipid values and empty carcass compositions were not significantly differ between the upper and lower quartile groups of fat proportion of empty carcass compared to the lower quartile group(LF). Same feeding design was employed in experiment 2 where the effect of mild electric stress on food selection was studied. The rats in both control and electric stress group revealed a normal growth curve and organ weights. The rats in both control and electric stress group revealed a normal growth curve and organ weights. The stress group showed higher caloric intake and body weight gain than control group, but no significant effects of stress on serum and empty carcass components was found. Even though normal rats seemed to select macronutrients according to their physiolosical needs, there were individual differences in food selection whether they were exposed to stress or not. Therefore life long individual food selection pattern may have a great influence on nutritional status and chronic degenerative diseases of eldery, and on aging process.

• Communications for Statistical Applications and Methods
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• 제27권5호
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• pp.535-546
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• 2020

In genetic association studies, pleiotropy is a phenomenon where a variant or a genetic region affects multiple traits or diseases. There have been many studies identifying cross-phenotype genetic associations. But, most of statistical approaches for detection of pleiotropy are based on individual tests where a single variant association with multiple traits is tested one at a time. These approaches fail to account for relations among correlated variants. Recently, multivariate regularization methods have been proposed to detect pleiotropy in analysis of high-dimensional genomic data. However, they suffer a problem of tuning parameter selection, which often results in either too many false positives or too small true positives. In this article, we applied selection probability to multivariate regularization methods in order to identify pleiotropic variants associated with multiple phenotypes. Selection probability was applied to individual elastic-net, unified elastic-net and multi-response elastic-net regularization methods. In simulation studies, selection performance of three multivariate regularization methods was evaluated when the total number of phenotypes, the number of phenotypes associated with a variant, and correlations among phenotypes are different. We also applied the regularization methods to a wild bean dataset consisting of 169,028 variants and 17 phenotypes.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.101-106
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• 2023

Chronic illnesses are among the most common serious problems affecting human health. Early diagnosis of chronic diseases can assist to avoid or mitigate their consequences, potentially decreasing mortality rates. Using machine learning algorithms to identify risk factors is an exciting strategy. The issue with existing feature selection approaches is that each method provides a distinct set of properties that affect model correctness, and present methods cannot perform well on huge multidimensional datasets. We would like to introduce a novel model that contains a feature selection approach that selects optimal characteristics from big multidimensional data sets to provide reliable predictions of chronic illnesses without sacrificing data uniqueness.[1] To ensure the success of our proposed model, we employed balanced classes by employing hybrid balanced class sampling methods on the original dataset, as well as methods for data pre-processing and data transformation, to provide credible data for the training model. We ran and assessed our model on datasets with binary and multivalued classifications. We have used multiple datasets (Parkinson, arrythmia, breast cancer, kidney, diabetes). Suitable features are selected by using the Hybrid feature model consists of Lassocv, decision tree, random forest, gradient boosting,Adaboost, stochastic gradient descent and done voting of attributes which are common output from these methods.Accuracy of original dataset before applying framework is recorded and evaluated against reduced data set of attributes accuracy. The results are shown separately to provide comparisons. Based on the result analysis, we can conclude that our proposed model produced the highest accuracy on multi valued class datasets than on binary class attributes.[1]

• 한국보건간호학회지
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• 제7권2호
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• pp.39-52
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• 1993

The primary purpose of this study is to promote and establish the development of home health care in Korea. It focuses on identifying and classifying the nursing activities that were provided by health professionals for patients who were admitted to two hospitals with cerebral vascular disease. And also. the study was conducted for comparison of client selection criteria between health professionals, and identifying patients who needed home health care The subjects of this study were 38 patients with cerebral vascular disease who were admitted to neuro-surgery wards at 2 hospitals with more than 500 beds in Daegu from November 1. through 30. 1991. Survey instruments were questionnaires to identify nursing activities and classify patients who needed home health care. Data was collelected by 1 doctor and 2 nurses per patient independently. They checked the same patient with the questionnaire on the same day and never communicated their information about patients with each other. All the questionnaires checked by doctor and nurses completely were 90. Statistical methods for analyzing data were non-parametric tests (Kruskal Wallice test and sign test). Correlation and percentages were used for further analysis. From this study. the following summarized conclusions have been drawn. 1. 10. 2 kinds of treatment and nursing activities were provided by health professionals for patients with cerebral vascular disease in hospital. 2. The points of nursing needs were between 32-37 out of a total of 500 as a result of the assessment about the health status of patients who were admitted to neuro-surgery ward with cerebral vascular disease. The points of Barthel Index of Functional Status Assessing Devices were between 24-34. Client Selection Criteria for Home Health Care was congruent between the Health professionals because the difference were not found to be statistically significant. 3. Patients classfied as home health care clients were $70-80\%$ of all patients who were admitted in hospital. There was not significant difference in patient selection criteria for home health care between health professionals statistically. As a result. the validity of different tools used in classifying home health care client were found to be congruent. 4. $80-85\%$ patients who could be discharged and sent to their homes early were identified as home health care clients. This study using client selection criteria. for home health care contributed to tool development because the validity of tools was verified. And also, this research represented that there was congruency in patient selection criteria for home health care between different health professionals. As a result, this study represented that many patients who were admitted to hospitals could be classified as a home health care clients. On the basis of the findings. further studies are required to develop client selection criteria using universal tools for classifying home health care clients in other chronic diseases. It is also recommended that comparative studies for client selection criteria between health professionals treating in other chronic diseases are necessary.

• Biomolecules & Therapeutics
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• 제29권6호
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• pp.582-595
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• 2021

Researchers have endeavored to identify the etiology of inflammatory bowel diseases, including Crohn's disease and ulcerative colitis. Though the pathogenesis of inflammatory bowel diseases remains unknown, dysregulation of the immune system in the host gastrointestinal tract is believed to be the major causative factor. Omics is a powerful methodological tool that can reveal biochemical information stored in clinical samples. Lipidomics is a subset of omics that explores the lipid classes associated with inflammation. One objective of the present systematic review was to facilitate the identification of biochemical targets for use in future lipidomic studies on inflammatory bowel diseases. The use of high-resolution mass spectrometry to observe alterations in global lipidomics might help elucidate the immunoregulatory mechanisms involved in inflammatory bowel diseases and discover novel biomarkers for them. Assessment of the characteristics of previous clinical trials on inflammatory bowel diseases could help researchers design and establish patient selection and analytical method criteria for future studies on these conditions. In this study, we curated literature exclusively from four databases and extracted lipidomics-related data from literature, considering criteria. This paper suggests that the lipidomics approach toward research in inflammatory bowel diseases can clarify their pathogenesis and identify clinically valuable biomarkers to predict and monitor their progression.

• Journal of Preventive Medicine and Public Health
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• 제22권1호
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• pp.45-50
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• 1989

The purpose of this study was to select the manageable diseases which are prevalent in Korea for periodic health examinations and to evaluate the sensitivity and specificity of periodic health examination in detecting these diseases. The data was derived from reimbursement data of the Korea Medical Insurance Corporation over a two year period (April 15, 1986 to April 14,1988) and interviews with Yonsei Medical School professors. This study demonstrated that: 1. The manageable diseases which were selected for periodic health examinations are pulmonary tuberculosis, viral hepatitis, diabetes mellitus, syphilis groups, essential hypertension, renal disease groups, and iron deficiency anemia. 2. The sensitivity of the health screening for each disease was as follows: pulmonary tuberculosis 51.5%, viral hepatitis 60.3%, diabetes mellitus 64.7%, syphilis groups 63.3%, essential hypertension 49.9%, renal disease groups 44.0%, and iron deficiency anemia 80.9%. We conclude that peiodic health esaminations should focus on the manageable diseases that we have defined. The number of items in periodic health screening tests and hospital quality control should be increased for the diseases with a demonstrated low sensitivity.

• Korean Journal of Acupuncture
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• 제24권2호
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• pp.19-43
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• 2007

Objectives : The aim of this study was to analyse the symptoms of a disease and to elucidate the meaning and rationale of point selection in YuLongFu. Methods : We translated YuLongFu into Korean and analyzed symptoms based upon a comparison of YuLongFu with YuLongGe. The meaning and rationale of point selection in YuLongFu was then inferred from the analysis above. Results and Conclusions : Total 84 acupoints were used in YuLongFu. Moxibustion and pricking blood therapy were used twice. Generally, threre are a lot of diseases caused by stagnation of Qi and blood in YuLongFu. Point selection, therefore, was usually aimed at promoting flow of Qi and blood.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2815-2817
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• 2002

Classification method of cancers using cDNA microarrays data was developed using genetic algorithms and neural networks. For gene selection, 2308 genes were ranked using genetic algorithms, and selected by frequency number of selection from 1000 of genetic iterative runs. To calculate fitness values, artificial neural networks are used as classifier. The small, round blue cell tumors (SRBCTs) which is difficult to distinguish via pathological single test was used as test diseases for classification, and the test results showed the 96% of exact classification capability for 25 test samples.

• Korean Journal of Acupuncture
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• 제23권3호
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• pp.1-15
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• 2006

Objectives : The aim of this study was to analyze the symptoms of a disease and to elucidate the meaning and rationale of point selection in YuLongFu. Methods : We translated YuLongFu into Korean and analyzed symptoms based upon a comparison of YuLongFu with YuLongGe. The meaning and rationale of point selection in YuLongFu was then inferred from the analysis above. Results and Conclusions : Total 46 points (6 points were repeated) were used in YuLongFu. These points included the collateral Meridian, the four seas, five shu points, lower confluent points, yuan points and eight influential points. Moxibustion and pricking blood therapy were used twice. Generally, threre are a lot of diseases caused by stagnation of Qi and blood in YuLongFu. Point selection, therefore, was usually aimed at promoting flow of Qi and blood.

• 대한한방부인과학회지
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• 제32권1호
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• pp.15-25
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• 2019

Objectives: The aim of this study is to review clinical studies of Hominis Placenta Pharmacopuncutre on Obstetrics & Gynecology diseases. Methods: Key words "Jahageo Yakchim", "Hominis Placenta Pharmacopuncture", "Human Placenta Pharmacopuncture", "Hominis Placenta Pharmacoacupuncutre" were searched on 6 database systems (DBpia, KISS, KTKP, NDSL, Pubmed, CENTRAL) on August 31th 2018. Results: 1 case reports and 4 controlled studies were collected in accordance with the selection and exclusion criteria. The study design, study results and method of intervention were analyzed. Conclusions: This review shows the necessity of large-scale well designed clinical studies of Hominis Placenta Pharmacopuncture on Obstetrics & Gynecology diseases to evaluate the efficacy and safety.