• International Journal of Contents
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• v.5 no.3
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• pp.65-70
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• 2009

This paper describes ongoing work on the correction of adverb errors committed by Korean learners studying English as a foreign language (EFL), using an automated English writing assessment system. Adverb errors are commonly found in learners 'writings, but handling those errors rarely draws an attention in natural language processing due to complicated characteristics of adverb. To correctly detect the errors, adverbs are classified according to their grammatical functions, meanings and positions within a sentence. Adverb errors are collected from learners' sentences, and classified into five categories adopting a traditional error analysis. The error classification in conjunction with the adverb categorization is implemented into a set of mal-rules which automatically identifies the errors. When an error is detected, the system corrects the error and suggests error specific feedback. The feedback includes the types of errors, a corrected string of the error and a brief description of the error. This attempt suggests how to improve adverb error correction method as well as to provide richer diagnostic feedback to the learners.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1521-1530
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• 2014

The ROC analysis is considered for multiple class diagnosis. There exist many criteria to find optimal thresholds and measure the accuracy of diagnostic tests for k dimensional ROC analysis. In this paper, we proposed a diagnostic accuracy measure called the correct classification simple rate, which is defined as the summation of true rates for each classification distribution and expressed as a function of summation of sequential true rates for two consecutive distributions. This measure does not weight accuracy across categories by the category prevalence and is comparable across populations for multiple class diagnosis. It is found that this accuracy measure does not only have a relationship with Kolmogorov - Smirnov statistics, but also can be represented as a linear function of some optimal threshold criteria. With these facts, the suggested measure could be applied to test for comparing multiple distributions.

• Pediatric Infection and Vaccine
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• v.3 no.2
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• pp.207-213
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• 1996

Herpes simplex virus(HSV) infections of the CNS are associated with significant morbidity and mortality even when appropriate antiviral therapy is administered. HSV infections of the brain can be subdivided into two categories : neonatal HSV infections, which usually are caused by HSV type 2, and herpes simplex encephalitis(HSE), which occur in patients over 3 months old and is nearly uniformly caused by HSV type 1. The clinical presentation of HSE is one of the focal encephalopathic process associated with altered levels of consciousness, fever, focal seizures and hemiparesis. But because of the lack of pathognomic clinical presentation and diagnostic procedure, the efforts to develop alternative diagnostic procedure have led to the use of new diagnostic technique such as polymerase chain reaction(PCR). We report a case of HSV type 1 encephalitis in 13 month old male infant who presented with altered level of consciousness, fever and focal seizures. With the use of the PCR, HSV-1 DNA was detected in cerebrospinal fluid from the patient. The symptoms and signs of encephalitis subsided by treatment with acyclovir in 14 days.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.47-55
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• 2012

We discovered the fact that the most important factor for judging adults' internet addiction in the K-scale method which was developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items, is tolerance and preoccupation factor from the experiments by using data mining techniques. In this research, we propose a new internet addiction diagnostic method based on the degree of tolerance considering users' non-duty internet activities. From some questionnaire participants, their feedbacks for the K-scale and the proposed diagnostic method were collected, and then we confirmed that the proposed user-centered diagnostic method is effective to find undiscovered addicts due to individuals's intention in the K-scale.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.3
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• pp.373-382
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• 2011

Purpose: The purpose of this study was to assess the educational needs of ICU nurses based on an analysis of importance, frequency, and difficulty for ICU nursing practice. Method: A cross-sectional survey was conducted using a questionnaire with 80 questions in 14 ICU nursing categories. Data were collected from August to October 2009. A total of 295 ICU nurses from five hospitals who had minimum of one year clinical experience participated. Data were analyzed with using descriptive statistics. Results: For importance, emergency care had the highest score, followed by physical assessment, communication, cardiovascular care, and ICU basic nursing. Regarding the frequency, physical assessment had the highest score, followed by communication, medication, ICU basic nursing, and respiratory care. Cardiovascular care was the most difficult task, followed by neurological care, emergency care, other ICU related nursing care, diagnostic test, and communication. Conclusion: The findings indicate a high educational need in the areas of communication, medication, physical assessment, diagnostic test, emergency care, and cardiovascular care. Thus the development of educational programs on communication, medication, physical assessment, diagnostic test, emergency care, and cardiovascular care are needed for ICU nurses.

• Child Health Nursing Research
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• v.25 no.1
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• pp.56-64
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• 2019

Purpose: This study was conducted to obtain data for the development of an effective fall risk assessment tool for pediatric inpatients through a systematic review and meta-analysis of the diagnostic test accuracy of existing scales. Methods: A literature search using Medline, Science Direct, CINAHL, EMBASE, and the Cochrane Library was performed between March 1 and 31, 2018. Of 890 identified papers, 10 were selected for review. Nine were used in the meta-analysis. Stata version 14.0 was used to create forest plots of sensitivity and specificity. A summary receiver operating characteristic curve was used to compare all diagnostic test accuracies. Results: Four studies used the Humpty Dumpty Falls Scale. The most common items included the patient's diagnoses, use of sedative medications, and mobility. The pooled sensitivity and specificity of the nine studies were .79 and .36, respectively. Conclusion: Considering the low specificity of the pediatric fall risk assessment scales currently available, there is a need to subdivide scoring categories and to minimize items that are evaluated using nurses' subjective judgment alone. Fall risk assessment scales should be incorporated into the electronic medical record system and an automated scoring system should be developed.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.473-482
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• 2021

In this study, we attempted to estimate the degree of management of chestnut forestry households in Chungcheongnam-do and to provide information for establishing chestnut cultivation-related policies. The chestnut management standard diagnostic table consists of three major categories, namely, management base, management and sales capacity, and production technology levels, along with 19 subcategories. A survey of 309 chestnut forestry households was conducted from 2014 to 2019 in Gongju, Cheongyang, and Buyeo in Chungcheongnam-do. The average score for the 19 subcategories was 65.7 points, indicating that these areas have excellent management conditions. When the total score was higher, the output per hectare and the rate of top-grade products in the total output were also higher, indicating a significant correlation. These findings will be useful for providing consulting services to chestnut growers as they highlight the correlation between the higher scores of the indicators in the chestnut management standard diagnostic table and the management performance of the farmers. We found that the scores of the indicators for management and sale skill, such as management record and analysis, material purchase, and direct transaction with consumers, were relatively lower than those of the indicators for management base and production skill. It is assumed that the chestnut growers aging has led to negligence in recording details on incomes, expenditures, and work and lowered the willingness to make substantial profits. Therefore, it is essential to overcome these problems for profitable chestnut farming.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.483-492
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• 2021

This study attempted to estimate the degree of management of oak mushroom farms in Chungcheongnam-do and to provide information to establish oak mushroom cultivation-related policies. The oak mushroom management standard diagnostic table consists of three major categories, growing condition, inoculation management, cultivation management and management administration, along with 20 subcategories. Thus, 209 households of oak mushroom farms were surveyed from 2015 to 2018 in Gongju, Cheongyang, Buyeo and Seochun in Chungcheongnam-do. The average score for the 20 subcategories was 71.5 points (representing a significant level), indicating that these areas have excellent management conditions. The analysis of the management performance indicators revealed a high number of indicators with scores of five or above. The total score was higher, and the amount per bed log and the rate of top-grade products in the total output were also higher, indicating a significant correlation. These findings will provide consulting services to oak mushroom growers as they highlight the correlation between the higher scores of indicators in the oak mushroom management standard diagnostic table and the management performance of farmers. We found that the scores of the indicators for management administration, such as management record and analysis and fund plan were relatively lower than those of other indicators. It is assumed that the owners aging has led to negligence in recording the details on incomes, expenditures, and work and lowered the willingness to make substantial profits. Therefore, it is essential to overcome these problems for profitable oak mushroom farming.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.61-68
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• 2024

In the quest for advancing diabetes diagnosis, this study introduces a novel two-step machine learning approach that synergizes the probabilistic predictions of Logistic Regression with the classification prowess of Random Forest. Diabetes, a pervasive chronic disease impacting millions globally, necessitates precise and early detection to mitigate long-term complications. Traditional diagnostic methods, while effective, often entail invasive testing and may not fully leverage the patterns hidden in patient data. Addressing this gap, our research harnesses the predictive capability of Logistic Regression to estimate the likelihood of diabetes presence, followed by employing Random Forest to classify individuals into diabetic, pre-diabetic or nondiabetic categories based on the computed probabilities. This methodology not only capitalizes on the strengths of both algorithms-Logistic Regression's proficiency in estimating nuanced probabilities and Random Forest's robustness in classification-but also introduces a refined mechanism to enhance diagnostic accuracy. Through the application of this model to a comprehensive diabetes dataset, we demonstrate a marked improvement in diagnostic precision, as evidenced by superior performance metrics when compared to other machine learning approaches. Our findings underscore the potential of integrating diverse machine learning models to improve clinical decision-making processes, offering a promising avenue for the early and accurate diagnosis of diabetes and potentially other complex diseases.

• The Korean Journal of Medicine
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• v.99 no.4
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• pp.199-205
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• 2024

Benign small bowel strictures can occur in association with various conditions, including small bowel Crohn's disease, nonsteroidal anti-inflammatory drug-induced enteritis, ischemic enteritis, intestinal tuberculosis, radiation enteritis, postoperative adhesions, and anastomotic strictures. Benign small bowel strictures are classified into two categories, low-grade and high-grade. Low-grade small bowel strictures involve a partial reduction of the internal diameter of the small intestine, causing slight obstruction of the passage of food and digestive fluids without significant bowel obstruction symptoms. By contrast, high-grade small bowel strictures involve a severe narrowing of the intestinal lumen, leading to marked obstruction of the passage of food and digestive fluids and pronounced bowel obstruction symptoms. Small bowel strictures can be diagnosed using various methods, including abdominal plain radiography, abdominal computed tomography, computed tomography enterography, magnetic resonance enterography, balloon-assisted enteroscopy, and abdominal ultrasound. Each diagnostic method has unique advantages and disadvantages as well as differences in diagnostic specificity and sensitivity. Therefore, even if small bowel strictures are not observed using a single imaging technique, their presence cannot be completely excluded. A comprehensive diagnosis that combines clinical information from multiple diagnostic modalities is necessary. Therapeutic approaches for managing small bowel strictures include medical therapy, endoscopic balloon dilation using balloon-assisted enteroscopy, and surgical methods such as strictureplasty and segmental resection. Endoscopic balloon dilation, in particular, can help reduce complications associated with repeated surgeries for strictures.