• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.1
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• pp.44-56
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• 2010

Objective : To characterize Five Woons of Asian women who live at Los Angeles area in U.S.A Methods : A set of physical tests and diagnostic questions were given to 242 Asian female subjects who were treated for their symptoms at a clinic of Asian medicine near Los Angeles in USA. The participants were given their constitutions, one of the Five Woons based on their birthdays. The physical tests included a body composition via Inbody 4.0 and an autonomic bioelectric response record via ABR2000. The oneway analysis of variance was applied to compare the means of the Five Woons and the physical test results. The Cross tabulation analysis was also applied to look for the effectiveness of Five Woons on the symptoms. Results : 1. In the body composition items, the LSD(least significant difference) showed that there were significant differences between the Soil Woon and the other Four Woons which are Water, Metal, Fire and Wood Woons in weight, fat, body fat %, BMI (p<0.2). 2. Based on the LSD, significant differences were observed among the Five Woons in R5, R6 and R7(p<0.2). 3. The cross tabulation analysis showed the significant effectiveness of the Five Woons on the five symptoms including dizziness, hot and cold, lower body edema, fatigue and to take a medication for high blood pressure out of 24 diagnostic questions (p<0.2). Conclusions : Further clinical research is necessary to develop a more delicate questionnaire and look for ways of characterizing the Five Woons. The diagnosis and corresponding treatment based on the Five Woons should be further studied in view of the Oriental medicine.

• The Korean Journal of Pain
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• v.30 no.3
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• pp.197-206
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• 2017

Background: Pain with neuropathic characteristics is generally more severe and associated with a lower quality of life compared to nociceptive pain (NcP). Short form of the Douleur Neuropathique en 4 Questions (S-DN4) is one of the most used and reliable screening questionnaires and is reported to have good diagnostic properties. This study was aimed to cross-culturally validate the Hindi version of the S-DN4 in patients with various chronic pain conditions. Methods: The S-DN4 is already translated into the Hindi language by Mapi Research Trust. This study assessed the psychometric properties of the Hindi version of the S-DN4 including internal consistency and test-retest reliability after 3 days' post-baseline assessment. Diagnostic performance was also assessed. Results: One hundred sixty patients with chronic pain, 80 each in the neuropathic pain (NeP) present and NeP absent groups, were recruited. Patients with NeP present reported significantly higher S-DN4 scores in comparison to patients in the NeP absent group (mean (SD), 4.7 (1.7) vs. 1.8 (1.6), P < 0.01). The S-DN4 was found to have an AUC of 0.88 with adequate internal consistency (Cronbach's ${\alpha}=0.80$) and a test-retest reliability (ICC = 0.92) with an optimal cut-off value of 3 (Youden's index = 0.66, sensitivity and specificity of 88.7% and 77.5%). The diagnostic concordance rate between clinician diagnosis and the S-DN4 questionnaire was 83.1% (kappa = 0.66). Conclusions: Overall, the Hindi version of the S-DN4 has good internal consistency and test-retest reliability along with good diagnostic accuracy.

• Journal of Korean Neurosurgical Society
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• v.60 no.5
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• pp.540-549
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• 2017

Objective : To evaluate the diagnostic value of computed tomography-myelography (CTM) compared to that of magnetic resonance imaging (MRI) in patients with lumbar radiculopathy. Methods : The study included 91 patients presenting with radicular leg pain caused by herniated nucleus pulposus or lateral recess stenosis in the lumbar spine. The degree of nerve root compression on MRI and CTM was classified into four grades. The results of each imaging modality as assessed by two different observers were compared. Visual analog scale score for pain and electromyography result were the clinical parameters used to evaluate the relationships between clinical features and nerve root compression grades on both MRI and CTM. These relationships were quantified by calculating the receiver-operating characteristic curves, and the degree of relationship was compared between MRI and CTM. Results : McNemar's test revealed that the two diagnostic modalities did not show diagnostic concurrence (p<0.0001). Electromyography results did not correlate with grades on either MRI or CTM. The visual analog pain scale score results were correlated better with changes of the grades on CTM than those on MRI (p=0.0007). Conclusion : The present study demonstrates that CTM could better define the pathology of degenerative lumbar spine diseases with radiculopathy than MRI. CTM can be considered as a useful confirmative diagnostic tool when the exact cause of radicular pain in a patient with lumbar radiculopathy cannot be identified by using MRI. However, the invasiveness and potential complications of CTM are still considered to be pending questions to settle.

• The Journal of Korean Medicine
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• v.31 no.4
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• pp.101-114
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• 2010

Background: Currently, evidence-based medicine is widely propagated as a reference for proper clinical practice. As a result, there is an increasing need for more clinical trials based on Oriental diagnostic methods to evaluate the efficacy of Oriental medicine, including acupuncture and herbal medicine. The purpose of this study was to confirm which symptoms are adequate indicators of effects of Ojeock-san for lower back pain and develop a questionnaire to evaluate its effects. Methods: We interviewed 102 Oriental medical doctors working in Seoul with a preformed questionnaire which included questions about symptoms of lower back pain and indicators for Ojeock-san. We sampled respondents who answered that they trust the effectiveness of Ojeock-san in telephone survey carried out using multistage stratified random sampling technique from March to April, 2009. We categorized the respondents into two groups, differentiating them by gender, career, workplace, and trust level of Ojeock-san effect. Results: About half of the respondents selected 13 questions as the adequate indicators of Ojeock-san for low back pain. There were no differences in the top 11 selected indicators in total selection and top 3 ranking selection. The comparison of frequency of top 13 questions in total selections between the two groups showed no difference. Conclusions: There were 13 symptoms which were considered adequate indicators of effects of Ojeock-san for lower back pain found by many Oriental medical doctors. This questionnaire can be utilized as a diagnostic adjunctive tool, tested for validity and reliability of questionnaires through further studies.

• The Journal of Pediatrics of Korean Medicine
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• v.22 no.3
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• pp.1-15
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• 2008

Objectives : This study was designed to evaluate completely the relationship between obesity and Qui Xue Shui diagnostic procedure in primary and middle school students. Methods : The study participants were the 1, 2nd grade students of middle school and 5, 6th grade students of primary school in Kang dong Gu of Seoul (1134 Students). The participants were measured for their height and weight etc, and they were also surveyed by questionnaire. We diagnosed the students as when they scored 10 points or behind on Qui Xue Shui(QXS) question problems from Japan education academy. Results and Conclusions : The mean QXS score in the obese group was significantly higher than that of the normal body weight group and the obeser they are, the higher QXS score is. The Qi xu, Qi yu, Xue xu, Shui chi score of the QXS questions the obese group was higher than the normal group. The total QXS score was significantly higher in the obese group. It is shown that the total score of using the Qui Xue Shui diagnostic procedure is mainly dependent on obesity.

• Clinical and Experimental Pediatrics
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• v.51 no.9
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• pp.911-921
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• 2008

Learning disabilities (LD) are heterogeneous group of disorders with evidences of genetic or familial trait, intrinsic to the individual and presume to be due to central nervous dysfunction. Learning disabilities and attention deficit hyperactivity disorder (ADHD) are the two of the most common disorders in the population of school-age children. Typically academic achievements in children with learning disabilities are significantly lower than expected by their normal or above normal range of IQ. Although academic and cognitive deficits are hallmarks of children with LD, those children are also at risk for a broad range of behavioral and emotional problems. Almost all cases meet criteria for at least one additional diagnosis such as ADHD, developmental coordination disorder, depression, anxiety, obsessive compulsive disorder, tic disorder, among which ADHD is particularly predominant. Because of the response to the therapeutic intervention program is promising and positive when applied early, it is critical to recognize patients as early as possible. Pediatricians often are the first to hear from parents worried about a childs academic progress. It is not the responsibility of pediatrician to make a diagnosis, referring children for a diagnostic evaluation of LD is a reasonable first step. Pediatricians can make early referral of suspicious children by asking some serial short questions about basic and processing skills. With a basic knowledge about the clinical characteristics, diagnostic and therapeutic procedures of LD, pediatricians also can provide primary counseling and education for parents at their outpatient clinical settings.

• Journal of Computing Science and Engineering
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• v.6 no.1
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• pp.51-59
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• 2012

We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests and interventions, as well as inform prognosis. The Laboratory of Computational Physiology at the Massachusetts Institute of Technology developed and maintains MIMIC-II, a public deidentified high- resolution database of patients admitted to Beth Israel Deaconess Medical Center. It hosts teams of clinicians (nurses, doctors, pharmacists) and scientists (database engineers, modelers, epidemiologists) who translate the day-to-day questions during rounds that have no clear answers in the current medical literature into study designs, perform the modeling and the analysis and publish their findings. The studies fall into the following broad categories: identification and interrogation of practice variation, predictive modeling of clinical outcomes within patient subsets and comparative effectiveness research on diagnostic tests and therapeutic interventions. Clinical databases such as MIMIC-II, where recorded health care transactions - clinical decisions linked with patient outcomes - are constantly uploaded, become the centerpiece of a learning system.

• The Korean Journal of Nuclear Medicine
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• v.37 no.3
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• pp.137-146
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• 2003

Rheumatic diseases can be categorized by pathology into several specific types of musculoskeletal problems, including synovitis (e.g. rheumatoid arthritis), enthesopathy (e.g. ankylosing spondylitis) and cartilage degeneration (e.g. osteoarthritis). Skeletal radiographs have contributed to the diagnosis of these articular diseases, and some disease entities need typical radiographic changes as a factor of the diagnostic criteria. However, they sometimes show normal radiographic findings in the early stage of disease, when there is demineralization of less than 30-50 %. Bone scans have also been used in arthritis, but not widely because the findings are nonspecific and it is thought that bone scans do not add significant information to routine radiography. Bone scans do however play a different role than simple radiography, and it is a complementary imaging method in the course of management of arthritis. The Image quality of bone scans can be improved by obtaining regional views and images under a pin-hole collimator, and through a variety of scintigraphic techniques including the three phase bone scan and bone SPECT. Therefore, bone scans could improve the diagnostic value, and answer multiple clinical questions, based on the pathophysiology of various forms of arthritis.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.263-271
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• 2011

This study aims to develop a diagnostic tool that can measure nine personality types of the enneagram types based on the theoretical content of enneagram to measure personality as a human factor among various factors that affect to performance for maximizing organization and individual's performance. We have develeped measure items to figure out 9 enneagram types. Since first of September of to 30th August 2011, we had a preliminary survey with total 842 students in zed the data. Based on the results of the analysis of preliminary invmiddle and high school and analyestigation, we made a Enneagram Personality Type Inventory for Young People with a total of 144 selected questions. 4,008 middle and high students across the country were surveyed and had statistical analysis with the data. The data shows Cronbach's ${\alpha}$ was from .77 to .86 for the 9 types. This diagnostic tool developed with this study will help students can understand, develop and grow themselves, also this can be useful in coaching and counseling areas like Personality, career, academic, career and leadership development.