• Title/Summary/Keyword: Classification of Disease

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A Study on the Function and Workflow of Laboratory Sections for Clinical Laboratory Design (진단검사의학과의 검사분야별 기능과 검사흐름도에 대한 연구)

  • Choi, Changdae;Kim, Youngaee;Jung, Taewon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.25 no.1
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    • pp.17-27
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    • 2019
  • Purpose: Clinical laboratory in hospital has taken a great role in protection of chronic disease. as well as diagnosis and treatment, And laboratory layout has been considered by the management and laboratory section more than the function and workflow. Methods: So this study figures out the workflows of laboratory sections in the recently upgraded Laboratory Medicine, and searches the functional relationships and spatial block diagram between each disciplines as follows. Literature review and expert adviser has been conducted. Results: 1) Laboratory type of Laboratory Medicine is divided into routine and specialized laboratory according to the workflow by automated or specialized test. 2) The general workflow consists of specimen collection, specimen classification, test by discipline, test report, and specimen disposal. 3) Though the function of each laboratory section is very complicated and specific, the characteristics and the workflow can be shown in detail by each lab through [Figure 4], [Figure 5], [Figure 6], [Figure 7], and [Figure 8]. 4) Functional relationship diagram can be displayed to the adjacency and relation between each laboratory and support spaces. 5) The spatial block diagram could be presented as shown in [Figure 10], in which the emergency lab lay in front side, routine lab in the central open area, and specialized lab in the behind side. Implications: This study can be used as a useful data in planning and designing a Laboratory Medicine Department.

Comparison of Feature Selection Methods Applied on Risk Prediction for Hypertension (고혈압 위험 예측에 적용된 특징 선택 방법의 비교)

  • Khongorzul, Dashdondov;Kim, Mi-Hye
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.3
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    • pp.107-114
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    • 2022
  • In this paper, we have enhanced the risk prediction of hypertension using the feature selection method in the Korean National Health and Nutrition Examination Survey (KNHANES) database of the Korea Centers for Disease Control and Prevention. The study identified various risk factors correlated with chronic hypertension. The paper is divided into three parts. Initially, the data preprocessing step of removes missing values, and performed z-transformation. The following is the feature selection (FS) step that used a factor analysis (FA) based on the feature selection method in the dataset, and feature importance (FI) and multicollinearity analysis (MC) were compared based on FS. Finally, in the predictive analysis stage, it was applied to detect and predict the risk of hypertension. In this study, we compare the accuracy, f-score, area under the ROC curve (AUC), and mean standard error (MSE) for each model of classification. As a result of the test, the proposed MC-FA-RF model achieved the highest accuracy of 80.12%, MSE of 0.106, f-score of 83.49%, and AUC of 85.96%, respectively. These results demonstrate that the proposed MC-FA-RF method for hypertension risk predictions is outperformed other methods.

Cystic Diseases of the Kidney in Children (소아의 낭포성 신질환)

  • Lee Ji-Suk;Rho Kwang-Sik;Kim Ji-Hong;Lee Jae-Seung;Kim Pyung-Kil
    • Childhood Kidney Diseases
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    • v.1 no.2
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    • pp.144-150
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    • 1997
  • Purpose : The kidney is one of the most common sites of cyst formation. Cystic diseases of the kidney are a diverse group of clinicopathologic entities and variable prognosis. They span a wide range of both age of presentation and severity of the renal disease. And many of them are systemic disorders, sharing similar process of cyst formation in other organs. Recently, development of imaging studies has been contributing widely to the diagnosis of the diseases. Treatment, however, is not established satisfactorily. We performed this study to evaluate the occurrence and treatment of cystic diseases of the kidney. Methods : We reviewed retrospectively the medical records of 44 patients with cystic diseases of the kidney in the Department of Pediatrics, during last 11 years. Results : In the 44 patients with cystic diseases of the kidney, 31 patients(71%) had multicystic dysplastic kidney and 11(35%) of them received nephrectomy due to differentiation from neoplasms or severe abdominal distension. Seven patients(16%) had polycystic kidney disease, and all of them were infantile type. Five patients(11%) were diagnosed as having a simple renal cysts. Progression to renal failure was noted in none of the cases. In 14(32%) out of total 44 patients, the diagnosis was made in neonatal or infantile pelted. Conclusion : The incidence of cystic diseases of the kidney appeared very low, but further investigation on their pathogenesis, classification, and indication of treatment is needed.

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Ocular Inspection Using Color Analysis in CIE Lab for Kidney Disease in Various Situations (다양한 환경 하에서 신장 질환 진단을 위한 색차 기반 찰색 방법의 제안)

  • Lee, Se-Hwan;Cho, Dong-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4B
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    • pp.630-636
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    • 2010
  • Ocular inspection in oriental medicine, which identifies sickness by patient's skin color, is usually applied by doctor's subjective judgment. In order to reduce the subjectiveness of diagnosis, we propose a method of objective and quantitative analysis for ocular inspection. The most issued features for ocular inspection are how to identify the color of patients' face in various situations, and how to link the relation between color and sickness. For resolving these two issues, the color system of CIE Lab is adopted for analyzing and classifying the color characteristics. The classification of color features is verified by experiments on groups of patients and non-patients. The results of experiments showed that the proposed method can provide an objective means for ocular inspection using patient's skin color.

Development of a Food Exchange Table and Food Pattern for Nutritionally Balanced Menu Planning (영양균형식단 작성을 위한 식품교환표와 식사구성안 개발)

  • Ahn, Yun;Yeo, Ikhyun;Lee, Sangyun;Nam, Kisun
    • Korean Journal of Community Nutrition
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    • v.23 no.5
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    • pp.411-423
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    • 2018
  • Objectives: The purpose of this study was to develop new meal planning tools for a nutritionally balanced diet. Methods: Based on the food exchange list for diabetes, we adjusted the food group classification system to reflect the suggested nutritional factors for chronic disease prevention and health promotion. We developed a nutritionally balanced dietary profile for adults and compared it with the dietary reference intakes for Koreans (KDRIs) and the food pattern recommended by the Korean Diabetes Association. Results: The newly developed menu planning tools are the LOHAS food exchange table and the LOHAS food pattern. Our recommended daily 1,800 kcal dietary composition for adults is as follows: The carbohydrate food group consists of 4 'whole grains', 3 'refined grains', 2 'sugars', 9 'vegetables', 3 'starchy vegetables', 2 'fruits' and 1 'high sugar fruits'. The protein food group includes 3 'plant protein foods', 3 'animal protein foods (low-fat)', and 1 'animal protein foods (high-fat)'. The fat food group consists of 2 'oils and nuts' and 1 'solid fats'. The total number of calories is estimated at 1,840 kcal and the energy ratio is 62% carbohydrate, 18% protein, 20% fat, 6.8% saturated fat and 13.2% sugars. Using the LOHAS food exchange table, it is possible to estimate values of saturated fat, unsaturated fat, dietary fiber, and sugars besides carbohydrate, protein and fat. It is also possible to compose a dietary design considering carbohydrate, sugars, saturated fat and dietary fiber. The LOHAS food pattern provides benefits for the management of both institutional food services and individual meals, as it can help reduce the levels of saturated fat and sugar intake and help develop healthy meals rich in unsaturated fats and dietary fiber. Conclusions: The LOHAS food exchange table and LOHAS food pattern are expected to be practical tools for designing and evaluating nutritionally balanced diets.

Main SNP Identification of Hanwoo Carcass Weight with Multifactor Dimensionality Reduction(MDR) Method (MULTIFACTOR DIMENSIONALITY REDUCTION(MDR)을 이용한 한우 도체중에서의 주요 SNP 규명)

  • Lee, Jea-Young;Kim, Dong-Chul
    • The Korean Journal of Applied Statistics
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    • v.21 no.1
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    • pp.53-63
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    • 2008
  • It is commonly believed that disease of human or economic traits of livestock are caused not by single gene acting alone, but by multiple genes interacting with one an-other. This issue is difficult due to the limitations of parametric statistical method like as logistic regression for detection of gene effects that are dependent solely on interactions with other genes and with environmental exposures. Multifactor dimensionality reduction (MDR) nonparametric statistical method, to improve the identification of single nucleotide polymorphism (SNP) associated with the Hanwoo(Korean cattle) carcass cold weight, is applied and compared with ANOVA results.

Constitution Therapy of Adolescent Ulcerative Colitis: A Case Report (청소년궤양성 대장염 환자의 사상체질요법에 대한 증례보고)

  • Park, Se-gi;Kim, Geun-yeob;Shin, Seon-mi;Ko, Heung
    • The Journal of Internal Korean Medicine
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    • v.38 no.4
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    • pp.531-540
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    • 2017
  • Objectives: This study discusses the effects of constitution therapy on adolescent ulcerative colitis. Methods: A 12-year-old male patient was treated with western medication for six months and herbal medicine for one year and six years; however, his abdominal pain, mucousy stool, bloody stool, and diarrhea persisted. He was diagnosed as having Taeumin according to Sasang constitution classification and treated with Sasang constitutional medicine (i.e., Yeuldahanso-tang and food restrictions based on constitutional medicine theory). Before the first treatment, his Pediatric Ulcerative Colitis Activity Index (PUCAI) score was 35, but this score decreased to 15 within six months and was maintained at 10 by 18 months of treatment. He took the herbal medication for 38 months, and his PUCAI score was 0 at the end of treatment. His liver functioned normally despite long-term drug use, and a follow-up colonoscopy showed no ulcerative colitis except melanosis, which was presumed to be caused by the herbal medicine. Ulcerative colitis in pediatric adolescents requires treatment with pharmacotherapy and dietary control based on constitutional medicine to maintain disease remission. Conclusions: Constitutional therapy is effective for treating adolescent ulcerative colitis. More clinical data are needed for patients with ulcerative colitis.

Treatment Patterns of Osteoporosis and Factors Affecting the Prescribing of Bone-forming Agents: From a National Health Insurance Claims Database (건강보험 청구자료를 이용한 골다공증 치료제의 처방 양상과 골형성촉진제 처방에 미치는 영향요인)

  • Jeong, Jihae;Shin, Ju-Young
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.1
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    • pp.27-34
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    • 2021
  • Objective: To analyze osteoporosis treatment patterns and teriparatide prescription-associated factors in Korea by using a national health insurance claims database. Methods: We utilized the Health Insurance Review & Assessment Service National Patients Sample claims database to identify patients (aged ≥50 years) with at least one osteoporosis claim (International Classification of Disease 10th revision code: M80, M81, M82) and at least one prescription for osteoporosis medication (antiresorptive agents: bisphosphonates, selective estrogen receptor modulators, denosumab, and calcitonin; bone-forming agent: teriparatide) in 2018. Demographic characteristics and healthcare utilization patterns were analyzed. Factors associated with teriparatide prescriptions were assessed using a multivariate logistic regression model. Results: Records showed that 44,815 patients were prescribed osteoporosis medications in 2018; the percentage of patients prescribed each treatment was as follows: 86.6% bisphosphonates, 13.9% selective estrogen receptor modulators, 3.1% calcitonin, 2.1% denosumab, and 0.7% teriparatide. A greater proportion of patients prescribed teriparatide were ≥75 years (53.4% vs. 33.8%) and had fractures (63.9% vs. 12.8%) compared to the same for antiresorptives (p<0.001). Patients prescribed teriparatide had higher Charlson comorbidity index values (1.2±1.3 vs. 0.9±1.2) and were more frequently hospitalized (0.8±1.3 vs. 0.1±0.5) than those prescribed antiresorptives (p<0.001). Elderly patients (≥75 years old; adjusted OR=1.66; 95% CI 1.16-2.38) and those with fractures (adjusted OR=6.23; 95% CI 4.76-8.14) were more likely to be prescribed teriparatide than antiresorptives. Conclusion: Patients prescribed teriparatide were older and more likely to have severe osteoporosis than those prescribed antiresorptives.

Development of the Information Delivery System for the Home Nursing Service (가정간호사업 운용을 위한 정보전달체계 개발 I (가정간호 데이터베이스 구축과 뇌졸중 환자의 가정간호 전산개발))

  • Park, J.H;Kim, M.J;Hong, K.J;Han, K.J;Park, S.A;Yung, S.N;Lee, I.S;Joh, H.;Bang, K.S
    • Journal of Home Health Care Nursing
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    • v.4
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    • pp.5-22
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    • 1997
  • The purpose of the study was to development an information delivery system for the home nursing service, to demonstrate and to evaluate the efficiency of it. The period of research conduct was from September 1996 to August 31, 1997. At the 1st stage to achieve the purpose, Firstly Assessment tool for the patients with cerebral vascular disease who have the first priority of HNS among the patients with various health problems at home was developed through literature review. Secondly, after identification of patient nursing problem by the home care nurse with the assessment tool, the patient's classification system developed by Park (1988) that was 128 nursing activities under 6 categories was used to identify the home care nurse's activities of the patient with CAV at home. The research team had several workshops with 5 clinical nurse experts to refine it. At last 110 nursing activities under 11 categories for the patients with CVA were derived. At the second stage, algorithms were developed to connect 110 nursing activities with the patient nursing problems identified by assessment tool. The computerizing process of the algorithms is as follows: These algorithms are realized with the computer program by use of the software engineering technique. The development is made by the prototyping method, which is the requirement analysis of the software specifications. The basic features of the usability, compatibility, adaptability and maintainability are taken into consideration. Particular emphasis is given to the efficient construction of the database. To enhance the database efficiency and to establish the structural cohesion, the data field is categorized with the weight of relevance to the particular disease. This approach permits the easy adaptability when numerous diseases are applied in the future. In paralleled with this, the expandability and maintainability is stressed through out the program development, which leads to the modular concept. However since the disease to be applied is increased in number as the project progress and since they are interrelated and coupled each other, the expand ability as well as maintainability should be considered with a big priority. Furthermore, since the system is to be synthesized with other medical systems in the future, these properties are very important. The prototype developed in this project is to be evaluated through the stage of system testing. There are various evaluation metrics such as cohesion, coupling and adaptability so on. But unfortunately, direct measurement of these metrics are very difficult, and accordingly, analytical and quantitative evaluations are almost impossible. Therefore, instead of the analytical evaluation, the experimental evaluation is to be applied through the test run by various users. This system testing will provide the viewpoint analysis of the user's level, and the detail and additional requirement specifications arising from user's real situation will be feedback into the system modeling. Also. the degree of freedom of the input and output will be improved, and the hardware limitation will be investigated. Upon the refining, the prototype system will be used as a design template. and will be used to develop the more extensive system. In detail. the relevant modules will be developed for the various diseases, and the module will be integrated by the macroscopic design process focusing on the inter modularity, generality of the database. and compatibility with other systems. The Home care Evaluation System is comprised of three main modules of : (1) General information on a patient, (2) General health status of a patient, and (3) Cerebrovascular disease patient. The general health status module has five sub modules of physical measurement, vitality, nursing, pharmaceutical description and emotional/cognition ability. The CVA patient module is divided into ten sub modules such as subjective sense, consciousness, memory and language pattern so on. The typical sub modules are described in appendix 3.

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Noise-Robust Porcine Respiratory Diseases Classification Using Texture Analysis and CNN (질감 분석과 CNN을 이용한 잡음에 강인한 돼지 호흡기 질병 식별)

  • Choi, Yongju;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.3
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    • pp.91-98
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    • 2018
  • Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. In particular, porcine respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this paper, we propose a noise-robust system for the early detection and recognition of pig wasting diseases using sound data. In this method, first we convert one-dimensional sound signals to two-dimensional gray-level images by normalization, and extract texture images by means of dominant neighborhood structure technique. Lastly, the texture features are then used as inputs of convolutional neural networks as an early anomaly detector and a respiratory disease classifier. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (low-cost sound sensor) and accurately (over 96% accuracy) even under noise-environmental conditions, either as a standalone solution or to complement known methods to obtain a more accurate solution.