• Title/Summary/Keyword: logistic classification

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Health Behavior and Sitting Time Effects of Single-person Households on Obesity: A Comparative Analysis of Educational Levels (1인 가구 중고령자의 건강행태 및 앉아서 보내는 시간이 비만에 미치는 영향: 교육 수준에 따른 비교분석)

  • Shin, Sang Ye
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.395-404
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    • 2022
  • The purpose of this study is to prevent obesity in the elderly and to seek differentiated intervention measures according to education level by comparing and analyzing the factors influencing obesity in single-person households according to education level. Using the data from the National Health and Nutrition Survey in 2020, cross-analysis and logistic regression analysis were conducted through data of a total of 400 respondents, and the analysis showed vulnerability in physical activities that could affect obesity if the education level was low, and risk factors such as eating out and sodium intake were high. As a result of comparative analysis of influencing factors through the classification of education levels, sedentary time was a risk factor in the low-education group, and sodium intake was a risk factor for obesity in the high-education group. Through this, it was discussed the need for healthy nutrition and physical activity education for middle-aged and elderly single-person households, and differentiated intervention according to the level of education.

Postoperative Complications and Their Risk Factors of Completion Total Gastrectomy for Remnant Gastric Cancer Following an Initial Gastrectomy for Cancer

  • Park, Sin Hye;Eom, Sang Soo;Eom, Bang Wool;Yoon, Hong Man;Kim, Young-Woo;Ryu, Keun Won
    • Journal of Gastric Cancer
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    • v.22 no.3
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    • pp.210-219
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    • 2022
  • Purpose: Completion total gastrectomy (CTG) for remnant gastric cancer (RGC) is a technically demanding procedure and associated with increased morbidity. The present study aimed to evaluate postoperative complications and their risk factors following surgery for RGC after initial partial gastrectomy due to gastric cancer excluding peptic ulcer. Materials and Methods: We retrospectively reviewed the data of 107 patients who had previously undergone an initial gastric cancer surgery and subsequently underwent CTG for RGC between March 2002 and December 2020. The postoperative complications were graded using the Clavien-Dindo classification. Logistic regression analyses were used to determine the risk factors for complications. Results: Postoperative complications occurred in 34.6% (37/107) of the patients. Intra-abdominal abscess was the most common complication. The significant risk factors for overall complications were multi-visceral resections, longer operation time, and high estimated blood loss in the univariate analysis. The independent risk factors were multi-visceral resection (odds ratio [OR], 2.832; 95% confidence interval [CI], 1.094-7.333; P=0.032) and longer operation time (OR, 1.005; 95% CI, 1.001-1.011; P=0.036) in the multivariate analysis. Previous reconstruction type, minimally invasive approach, and current stage were not associated with the overall complications. Conclusions: Multi-visceral resection and long operation time were significant risk factors for the occurrence of complications following CTG rather than the RGC stage or surgical approach. When multi-visceral resection is required, a more meticulous surgical procedure is warranted to improve the postoperative complications during CTG for RGC after an initial gastric cancer surgery.

Investigation of the Factors Affecting Bone Mineral Density in Children with Celiac Disease

  • Dehghani, Seyed Mohsen;Ilkhanipour, Homa;Samipour, Leila;Niknam, Ramin;Shahramian, Iraj;Parooie, Fateme;Salarzaei, Morteza;Tahani, Masoud
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.25 no.2
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    • pp.138-146
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    • 2022
  • Purpose: Children with celiac disease (CD) are at an increased risk of low bone mineral density (BMD) owing to malabsorption of fat-soluble vitamins, inflammation, and malnutrition. This study aimed to determine the prevalence and risk factors for low BMD in Iranian children with CD. Methods: This prospective cohort study examined 149 Iranian children with CD between 2011 and 2018 at Zabol University of Medical Sciences. BMD was measured using dual-energy X-ray absorptiometry. Demographic, clinical, and laboratory data were collected from patients' medical records. Logistic regression analysis was performed to identify the factors associated with low areal BMD (BMD-Z <-2) in the lumbar spine and femoral neck. Descriptive data were analyzed using the mean, standard deviation, and relative frequency. Data were analyzed using the chi-square test, t-test, and analysis of variance. Results: Of the 149 children with CD, 27.5% had osteoporosis. The mean body mass index (BMI) Z score was -1.28±1.2. Lower BMI was associated with a higher likelihood of BMD-Z (odds ratio 2.17; p≤0.05). Conclusion: Overall, the findings of this study showed that there was no correlation among Marsh classification, presence of specific human leukocyte antigens, and low BMD in Iranian children with CD. BMI can be a predictor of bone density in children with CD and may be applied clinically in early screenings to evaluate the bone health status in these children.

Prediction Model of CNC Processing Defects Using Machine Learning (머신러닝을 이용한 CNC 가공 불량 발생 예측 모델)

  • Han, Yong Hee
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.249-255
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    • 2022
  • This study proposed an analysis framework for real-time prediction of CNC processing defects using machine learning-based models that are recently attracting attention as processing defect prediction methods, and applied it to CNC machines. Analysis shows that the XGBoost, CatBoost, and LightGBM models have the same best accuracy, precision, recall, F1 score, and AUC, of which the LightGBM model took the shortest execution time. This short run time has practical advantages such as reducing actual system deployment costs, reducing the probability of CNC machine damage due to rapid prediction of defects, and increasing overall CNC machine utilization, confirming that the LightGBM model is the most effective machine learning model for CNC machines with only basic sensors installed. In addition, it was confirmed that classification performance was maximized when an ensemble model consisting of LightGBM, ExtraTrees, k-Nearest Neighbors, and logistic regression models was applied in situations where there are no restrictions on execution time and computing power.

Sasang Constitution may act as a Risk Factor for Hypertension and Pre-hypertension (고혈압 및 전기고혈압 위험요인으로서의 사상체질)

  • Jang, Eunsu;Jeong, Kyoung Sik;Lim, Sueun;Kim, Yunyoung
    • Journal of Sasang Constitutional Medicine
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    • v.34 no.1
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    • pp.37-45
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    • 2022
  • Objectives The purpose of this study was to reveal that Sasang constitution(SC) was associated with hypertension and pre-hypertension and could be a risk factor. Methods We introduced this study to educational personnel in D university in Daejeon, and 275 subjects joined this study. The SC classification was conducted with KS 15 questionnaire. The subjected measured the blood pressure with Jawon medical device automatically after 10 minute rest. The hypertension and pre-hypertension was classified by the guide of the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. The frequency analysis and T-test was used in general characteristics, and chi-square test was also used between SC and pre-hypertension and hypertension. Logistic regression was used to calculate the odds ratios (ORs) and 95% confidence interval (95% CI) for pre-hypertension and hypertension. Results The number of Taeeumin(TE), Soeumin(SE), and Soyangin(SY) was 142, 71, and 61 respectively. There was significantly different in systolic and diastolic blood pressure among SC types(p<.001). The distribution of the normal group, pre-hypertension and hypertension group by SC types was significantly different (p<.001). The ORs of TE was significantly increased (ORs 4.039, 95% CI=2.019-8.082 in pre-hypertension and ORs 4.235, 95% CI=1.581-11.348 in hypertension) compared with SE(p<.001), and after adjusting gender and smoking habit, it was still significantly different(p<.001). Conclusions It is possible that SC, especially TE could be a risk factor both pre-hypertension and hypertension.

Stock Market Prediction Using Sentiment on YouTube Channels (유튜브 주식채널의 감성을 활용한 코스피 수익률 등락 예측)

  • Su-Ji, Cho;Cheol-Won Yang;Ki-Kwang Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.102-108
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    • 2023
  • Recently in Korea, YouTube stock channels increased rapidly due to the high social interest in the stock market during the COVID-19 period. Accordingly, the role of new media channels such as YouTube is attracting attention in the process of generating and disseminating market information. Nevertheless, prior studies on the market forecasting power of YouTube stock channels remain insignificant. In this study, the market forecasting power of the information from the YouTube stock channel was examined and compared with traditional news media. To measure information from each YouTube stock channel and news media, positive and negative opinions were extracted. As a result of the analysis, opinion in channels operated by media outlets were found to be leading indicators of KOSPI market returns among YouTube stock channels. The prediction accuracy by using logistic regression model show 74%. On the other hand, Sampro TV, a popular YouTube stock channel, and the traditional news media simply reported the market situation of the day or instead showed a tendency to lag behind the market. This study is differentiated from previous studies in that it verified the market predictive power of the information provided by the YouTube stock channel, which has recently shown a growing trend in Korea. In the future, the results of advanced analysis can be confirmed by expanding the research results for individual stocks.

The relationship between visual display terminal usage at work and symptoms related to computer vision syndrome

  • Soonsu Shin;Eun Hye Yang;Hyo Choon Lee;Seong Ho Moon;Jae-Hong Ryoo
    • Annals of Occupational and Environmental Medicine
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    • v.35
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    • pp.1.1-1.11
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    • 2023
  • Background: Although it is well known that the usage of visual display terminal (VDT) at the workplace causes computer vision syndrome (CVS), previous studies mainly focused on computer use and the health of white-collar workers. In this study, we explored the relationship between the usage of VDT including various devices, and symptoms related to CVS in a large population including pink-collar workers and blue-collar workers. Methods: 21,304 wage workers over the age of 20 years were analyzed from the 6th Korean Working Conditions Survey. To investigate the association between VDT use at work and symptoms related to CVS among wage workers, odds ratios (ORs) and 95% confidence interval (CI) were calculated by multivariate logistic regression models. Results: In the group with the highest VDT usage at work, the OR of headache/eyestrain was 2.16 (95% CI: 1.86-2.52). The OR of suspected CVS patients was significantly increased in the highest group of usage of VDT at work (OR: 1.69; 95% CI, 1.39-2.06). Compare with the reference group, the OR for headache/eyestrain in the highest group of VDT usage was 2.81 (95% CI: 2.13-3.70) in white-collar workers, 1.78 (95% CI: 1.32-2.40) in pink-collar workers, and 1.59 (95% CI: 1.18-2.15) in blue-collar workers. Conclusions: We observed a relationship in which the use of VDT in the workplace increases the risk of headache/eyestrain regardless of occupational classification. Our findings emphasize the importance of paying attention to the health of VDT workers and making plans to improve their working conditions.

Association of ultra-processed food with diabetes and impaired fasting glucose in elderly populations (urban and rural): a cross-sectional study (도시 및 농어촌 거주 노인의 초가공식품 섭취 상태와 당뇨 및 공복혈당장애에 대한 단면연구)

  • Seung Jae Lee;Mi Sook Cho
    • Korean Journal of Community Nutrition
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    • v.29 no.1
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    • pp.51-64
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    • 2024
  • Objectives: This study examined the association between ultra-processed food (UPF) consumption and chronic diseases in elderly Koreans. Methods: Data from the 2019-2021 Korea National Health and Nutrition Examination Survey were analyzed. Dietary intake and UPF consumption were assessed using the NOVA food classification based on 24-hour recall data from 3,790 participants (aged 65+ years). Participants were divided into 4 groups based on the quartile of energy intake from UPFs. Regions were classified as urban or rural. Multivariable logistic regression was employed to estimate the adjusted odds ratios (AORs) with 95% confidence intervals (CIs) after controlling for potential confounders. Results: Among the participants, 71.3% resided in urban and 28.7% in rural areas. Compared to the urban elderly, rural participants tended to be older, have lower education and income levels, be more likely to live in single-person households, and have a higher smoking rate (P < 0.05). Urban elderly consumed more UPFs daily (146.1 g) compared to rural residents (126.6 g; P < 0.05). "Sugar-sweetened beverages" were the most consumed category in both regions. "Sweetened milk and its products" and "traditional sauces" were prominent in urban areas, while rural elderly consumed more "traditional sauces" and "distilled alcoholic beverages." Rural areas also had a higher carbohydrate-to-calorie ratio than urban areas. Compared to the lowest quartile of UPF intake, the highest quartile was significantly associated with impaired fasting glucose only in rural areas (AOR, 1.48; 95% CI, 1.00-2.19; P for trend = 0.0014). No significant associations were observed for diabetes in either urban or rural areas. Conclusions: This study suggests that high intake of UPFs is associated with increased odds of impaired fasting glucose in rural elderly. Further research is needed to elucidate the specific negative health effects of UPFs in different populations, and targeted efforts should promote healthy diets in both urban and rural areas.

Research on Mining Technology for Explainable Decision Making (설명가능한 의사결정을 위한 마이닝 기술)

  • Kyungyong Chung
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.4
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    • pp.186-191
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    • 2023
  • Data processing techniques play a critical role in decision-making, including handling missing and outlier data, prediction, and recommendation models. This requires a clear explanation of the validity, reliability, and accuracy of all processes and results. In addition, it is necessary to solve data problems through explainable models using decision trees, inference, etc., and proceed with model lightweight by considering various types of learning. The multi-layer mining classification method that applies the sixth principle is a method that discovers multidimensional relationships between variables and attributes that occur frequently in transactions after data preprocessing. This explains how to discover significant relationships using mining on transactions and model the data through regression analysis. It develops scalable models and logistic regression models and proposes mining techniques to generate class labels through data cleansing, relevance analysis, data transformation, and data augmentation to make explanatory decisions.

Predicting Need for Skilled Nursing or Rehabilitation Facility after Outpatient Total Hip Arthroplasty

  • Elshaday Belay;Patrick Kelly;Albert Anastasio;Niall Cochrane;Mark Wu;Thorsten Seyler
    • Hip & pelvis
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    • v.34 no.4
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    • pp.227-235
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    • 2022
  • Purpose: Outpatient classified total hip arthroplasty (THA) is a safe option for a select group of patients. An analysis of a national database was conducted to understand the risk factors for unplanned discharge to a skilled nursing facility (SNF) or acute rehabilitation (rehab) after outpatient classified THA. Materials and Methods: A query of the National Surgical Quality Improvement Program (NSQIP) database for THA (Current Procedural Terminology [CPT] 27130) performed from 2015 to 2018 was conducted. Patient demographics, American Society of Anesthesiologists (ASA) classification, functional status, NSQIP morbidity probability, operative time, length of stay (LOS), 30-day reoperation rate, readmission rate, and associated complications were collected. Results: A total of 2,896 patients underwent outpatient classified THA. The mean age of patients was 61.2 years. The mean body mass index (BMI) was 29.6 kg/m2 with median ASA 2. The results of univariate comparison of SNF/rehab versus home discharge showed that a significantly higher percentage of females (58.7% vs. 46.8%), age >70 years (49.3% vs. 20.9%), ASA ≥3 (58.0% vs. 25.8%), BMI >35 kg/m2 (23.3% vs. 16.2%), and hypoalbuminemia (8.0% vs. 1.5%) (P<0.0001) were discharged to SNF/rehab. The results of multivariable logistic regression showed that female sex (odds ratio [OR] 1.47; P=0.03), age >70 years (OR 3.08; P=0.001), ASA≥3 (OR 2.56; P=0.001), and preoperative hypoalbuminemia (<3.5 g/dL) (OR 3.76; P=0.001) were independent risk factors for SNF/rehab discharge. Conclusion: Risk factors associated with discharge to a SNF/rehab after outpatient classified THA were identified. Surgeons will be able to perform better risk stratification for patients who may require additional postoperative intervention.