No abstract availble

No abstract available

Expert systems emerged during early 1970s have become one of the most important innovations in computer science. They actively work in various areas and achieve a big success especially in medical domain. It is to be difficult to obtain reliable recognitions about each diagnosis that has common characteristics and to manage data about over 140 nursing diagnoses by using existing Nursing Diagnosis System with artificial neural network. But a rule-based approach has been studied to automate diagnosis and is more effective that nursing diagnosis depends on objective data and has more common characteristics. In this paper, Nursing Diagnosis System was built with a rule-based approach due to the above reasons. Nursing Diagnosis System is implemented by using rules of production system, a kind of knowledge representation technique based on standardized nursing care plans. The ten nursing diagnoses, found most frequently from the patients on medical-surgical wards were determined to develop Nursing Diagnosis System. To verify the usefulness of Nursing Diagnosis System was tested with 80 patient's data. A diagnosis was judged correct if the system and the nursing experts agreed on diagnosing. The nursing experts evaluated 100 percents of the system's diagnosis was deemed correct. Judging from the results given above, the system seems highly reliable. In this work, I show that it can contribute to clinical application of nursing process as another nursing tool.
Diagnosis ; Expert Systems* ; Humans ; Nursing Diagnosis* ; Nursing Process ; Nursing* ; Patient Care Planning

With growing need in the field, the application of computers in nursing has been frequently studied to improve the quality of nursing care in Korea. But the development of useful clinical programs has not received adequate alternatives. The aim of this study is to compare of two Nursing Diagnosis Systems - Neutral Network and Expert System. The simulated output of each Nursing Diagnosis System and the Judgment from the researcher and two professors of nursing were comparatively examined. The misdiagnosis rate of Nursing Diagnosis System using the Neural Network was nine percent, while the Nursing Diagnosis System using the Expert System showed consistency with those three experts in every aspect. Accordingly, the result of this study demonstrated the possibility of application of a nursing diagnosis system as another nursing tool.
Diagnostic Errors ; Expert Systems* ; Judgment ; Korea ; Nursing Care ; Nursing Diagnosis* ; Nursing*

OBJECTIVES: This study was conducted to examine the mental health status of the laid off by comparing the unemployed with the employed. METHODS: A survey questionnaire was used to investigate the mental health status of the laidoff in comparison with that of the employed. The study sample consisted of 247 laid-off people formerly employed in A auto factory and 167 employees working in B auto factory. RESULTS: The proportion exercising regularly was 20.2% for the laid-off and 34.8% for the employed and the proportion having regular meals was 10.9% and 50.6%, respectively. In addition, the frequency and amount of alcohol consumption and smoking of the laid-off were higher than those of the employed. Among the laid-off, 69.4% responded that they spent less time in talking to their spouse, and 65.4% also reported reduced sexual activities with their spouse. Because of unemployment, 41.8% of the laid-off experienced conflicts with their children, and 53.5% also perceived that they were stigmatized and treated badly by their neighbors, friends and relatives. Mean IFR in the laid-off was 22.9, which was much higher than the 15.3 recorded in the employed. The mean PWI-SF was 24.2 for the laid-off and 13.0 for the employed, which indicates the lower psychological health status of the laid-off than that of the employed. Age, annual salary, family relationship, regular exercise, regular diets, possibility to return to work and perception of the future were related to mental health status for the laid-off. Stepwise multiple regression analysis showed that the most important factor influencing mental health status for the laid-off was family relationships. CONCLUSIONS: According to the above results, the mental health of the laid-off is worse than that of the employed. Based on this study, a follow-up study focusing on the mental health status of the reemployed to the same factory, is needed to understand the direct mental health effect on the laid-off.
Alcohol Drinking ; Child ; Diet ; Family Relations ; Friends ; Humans ; Meals ; Mental Health* ; Questionnaires ; Return to Work ; Salaries and Fringe Benefits ; Sexual Behavior ; Smoke ; Smoking ; Spouses ; Unemployment

No abstract available.
Aneurysm, False* ; Embolization, Therapeutic* ; Hepatic Artery*

This study investigated the stress of community residents in Kwang-Ju and Chonnam areas by using the General Health Questionnaire(GHQ-60) as a instrument of stress measurement. The number of subject were 445 residents who lived in three areas (large city, middle city, and rural area) and they were individually interviewed in March, 1994. The result of study showed that the degrees of stress measured by GHQ-60 were statistically significant in the residents' area, age. sex variables: (a) the residents in middle city among three area had the highest level of stress: (b) the resident who were more than 60 in age had the highest level of stress: (c) the female resident had more stress than male residents: (d) particularly, the residents who were more than 60 years old in the middle city had the highest level of stress. Further, the results of factor analysis showed that there were three factors of social dysfunction, depression and anxiety, and psychosomatic symptom. The social dysfunction factor was statistically significant in both age and resident area variables. The depression and anxiety factor was statistically significant in the residents' area, age. sex variables. The psychosomatic symptom factor was statistically significant in both age and sex variables. The study suggested that they should give a special attention to solve the old people's stress because stress was closely related to residents age.
Anxiety ; Depression ; Factor Analysis, Statistical ; Female ; Gwangju ; Humans ; Jeollanam-do ; Male ; Mass Screening* ; Middle Aged ; Surveys and Questionnaires*

No abstract available.
Cicatrix, Hypertrophic* ; Skin*

Computed tomography can be diagnostic with orbital fractures, because it provides detailed visualization of anatomical relationship on both the bones and soft tissues of the orbits. By identifying a group of patient at high risk for enophthalmos and persistent diplopia, we were able to decise the indication of operation. From January 1991 to December 1996, the authors reviewed of 106 consecutive patients(118 eyes)with orbital fractures proven by computed tomography respectively. Among them, 13 patients were repaired surgically. The results were as follows. Orbital fractures occurred most frequently between the ages of 21 and 40 years of men, and the most common cause of those was traffic accident. The incidence of orbital fracture was higher on the left side of orbit. In single wall fractures, the most common involved wall was medial wall, followed by inferior, superior and lateral wall in order. In combined wall fractures, medial and inferior wall fractures were most common. The associated symptoms and signs of orbital fracture were periorbital swelling, lid laceration, diplopia, and enophthalmos in turn. Subciliary approach was used for repair of the fracture. The surgical intervention was done within 2 weeks.
Accidents, Traffic ; Diplopia ; Enophthalmos ; Humans ; Incidence ; Lacerations ; Male ; Orbit* ; Orbital Fractures*

No abstract available.