• Title/Summary/Keyword: LOGISTIC REGRESSION ANALYSIS

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A Case Study on Text Analysis Using Meal Kit Product Review Data (밀키트 제품 리뷰 데이터를 이용한 텍스트 분석 사례 연구)

  • Choi, Hyeseon;Yeon, Kyupil
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.1-15
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    • 2022
  • In this study, text analysis was performed on the mealkit product review data to identify factors affecting the evaluation of the mealkit product. The data used for the analysis were collected by scraping 334,498 reviews of mealkit products in Naver shopping site. After preprocessing the text data, wordclouds and sentiment analyses based on word frequency and normalized TF-IDF were performed. Logistic regression model was applied to predict the polarity of reviews on mealkit products. From the logistic regression models derived for each product category, the main factors that caused positive and negative emotions were identified. As a result, it was verified that text analysis can be a useful tool that provides a basis for maximizing positive factors for a specific category, menu, and material and removing negative risk factors when developing a mealkit product.

Analysis of the Impact of Heatwaves in Gwangju using Logistic Regression and Discriminant Analysis (로지스틱 회귀분석과 판별분석을 활용한 광주광역시의 폭염에 미치는 영향분석)

  • Youn Su Kim;Yeong Seon Kong;In Hong Chang
    • Journal of Integrative Natural Science
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    • v.17 no.2
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    • pp.33-41
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    • 2024
  • Abnormal climate is a phenomenon in which meteorological factors such as temperature and precipitation are significantly higher or lower than normal, and is defined by the World Meteorological Organization as a 30-year period. However, over the past 30 years, abnormal climate phenomena have occurred more frequently around the world than in the past. In Korea, abnormal climate phenomena such as abnormally high temperatures on the Korean Peninsula, drought, heatwave and heavy rain in summer are occurring in March 2023. Among them, heatwaves are expected to increase in frequency compared to other abnormal climates. This suggests that heatwave should be recognised as a disaster rather than just another extreme weather event. According to several previous studies, greenhouse gases and meteorological factors are expected to affect heatwaves, so this paper uses logistic regression and discriminant analysis on meteorological element data and greenhouse gas data in Gwangju from 2008 to 2022. We analyzed the impact of heatwaves. As a result of the analysis, greenhouse gases were selected as effective variables for heatwaves compared to the past, and among them, chlorofluorocarbons were judged to have a stronger effect on heatwaves than other greenhouse gases. Since greenhouse gases have a significant impact on heatwaves, in order to overcome heatwaves and abnormal climates, greenhouse gases must be minimized to overcome heatwaves and abnormal climates.

A Study on the Clinical Features of the Ordinary Sleeping Patterns of Taeumin Using Logistic Regression (태음인 수면의 임상적 특징 (로지스틱 회귀분석을 이용하여))

  • Choi, Jeong-Rak;Choi, Jae-Young;Lee, Yung-Seop;Park, Seong-Sik
    • Journal of Sasang Constitution and Immune Medicine
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    • v.16 no.3
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    • pp.18-24
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    • 2004
  • 1. Objectives This study is for discovering the characteristics of the sleep in ordinary symptoms based on the Sasang Constitution. The result of this study could be helpful to understand and to identify the patients as Taeumin by contrast with non-Taeumin. 2. Methods There were 1,229 patients(529 men), who answered the questionnaire about their ordinary sleep patterns. They had been diagnosed, including their Sasang Constitution, by the Sasang Constitution specialist at Bundang Oriental Hospital of Dongguk university. Applying the binary logistic regression analysis to each item about ordinary sleep patterns and the diagnosed Sasang Constitution, we can measure the characteristics and influence of ordinary sleep patterns to the dependent variable(Sasang Constitution). 3. Results As a result of the binary logistic analysis on the observed questionnaire, we found the similar features of the ordinary sleep patterns on Taeumin by contrast with non-Taeumin. In order of influence that identify Taeumin or non-Taeumin, first, Taeumin has a tendency that he will snore well or frequently. Second, Taeumin has a tendency that he will not dream, when he sleeps by contrast with non-Taeumin. 4. Conclusions This study will be used to identify patients as Taeumin or non-Taeumin by means of a reference tool.

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A Study on the Prediction Model for International Trade Payment Using Logistic Regression

  • Joo, Hye-Young;Lee, Dong-Jun
    • Journal of Korea Trade
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    • v.25 no.2
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    • pp.111-133
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    • 2021
  • Purpose - Although remittance payment in international trade settlements has played a bigger role in recent years, scant research is being done. This study is to zero in on analyzing determinants of international trade payments focused on remittance by constructing a payment prediction model. Design/methodology - This study categorizes the types of trade payments into advance remittance, post remittance, linked remittance, letter of credit, and mixed payment, and analyzes these after constructing a logit model. For empirical analysis, 147 survey data were collected for export manufacturers in Korea, and binominal logistic regression analysis was used to analyze the type of payment method the exporter chooses for trade transactions. Findings - The likelihood of choosing advance remittance increased as the exporters had non-recovery experiences with payments, and decreased as the market power of importers increased. The possibility of post remittance increased when the export amount was large and the character of the buyer was reliable. In the case of linked remittance, it was highly likely to be selected when payment efficiency was important in trade settlement. In addition, when competition among companies in the global market is intense and market uncertainty is high, the possibility of using a letter of credit decreases. It was also found that the greater the export amount, the greater the possibility of choosing advance remittance, and even if the transaction period was longer, exporters using a letter of credit continued to use it. Originality/value - Despite the high proportion of remittances in international trade settlements, it has been hard to find studies that reflect the practical characteristics of remittances. This study classified the types of remittance into advance remittance, post remittance, and linked remittance, and built a trade payment prediction model by adding a letter of credit and mixed payment. In addition, the originality of this study is recognized in that a logistic model was constructed and meaningful results were derived.

Impact of Regional Emergency Medical Access on Patients' Prognosis and Emergency Medical Expenditure (지역별 응급의료 접근성이 환자의 예후 및 응급의료비 지출에 미치는 영향)

  • Kim, Yeonjin;Lee, Tae-Jin
    • Health Policy and Management
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    • v.30 no.3
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    • pp.399-408
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    • 2020
  • Background: The purpose of this study was to examine the impact of the regional characteristics on the accessibility of emergency care and the impact of emergency medical accessibility on the patients' prognosis and the emergency medical expenditure. Methods: This study used the 13th beta version 1.6 annual data of Korea Health Panel and the statistics from the Korean Statistical Information Service. The sample included 8,119 patients who visited the emergency centers between year 2013 and 2017. The arrival time, which indicated medical access, was used as dependent variable for multi-level analysis. For ordinal logistic regression and multiple regression, the arrival time was used as independent variable while patients' prognosis and emergency medical expenditure were used as dependent variables. Results: The results for the multi-level analysis in both the individual and regional variables showed that as the number of emergency medical institutions per 100 km2 area increased, the time required to reach emergency centers significantly decreased. Ordinal logistic regression and multiple regression results showed that as the arrival time increased, the patients' prognosis significantly worsened and the emergency medical expenses significantly increased. Conclusion: In conclusion, the access to emergency care was affected by regional characteristics and affected patient outcomes and emergency medical expenditure.

A Study on Quality Control Using Data Mining in Steel Continuous Casting Process (철강 연주공정에서 데이터마이닝을 이용한 품질제어 방법에 관한 연구)

  • Kim, Jae-Kyeong;Kwon, Taeck-Sung;Choi, Il-Young;Kim, Hyea-Kyeong;Kim, Min-Yong
    • Journal of Information Technology Services
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    • v.10 no.3
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    • pp.113-126
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    • 2011
  • The smelting and the continuous casting of steel are important processes that determine the quality of steel products. Especially most of quality defects occur during solidification of the steel continuous casting process. Although quality control techniques such as six sigma, SQC, and TQM can be applied to the continuous casting process for improving quality of steel products, these techniques don't provide real-time analysis to identify the causes of defect occurrence. To solve problems, we have developed a detection model using decision tree which identified abnormal transactions to have a coarse grain structure. And we have compared the proposed model with models using neural network and logistic regression. Experiments on steel data showed that the performance of the proposed model was higher than those of neural network model and logistic regression model. Thus, we expect that the suggested model will be helpful to control the quality of steel products in real-time in the continuous casting process.

Study on Association of DSOM Items for Uterine Myoma in Oriental Medicine -Control Group: Outpatient and Clinical Trials Data - (자궁근종 여부에 대한 DSOM 항목의 연관성분석 - 대조군 : 한방부인과 외래환자와 임상시험 피시험자 -)

  • Kim, Jong-Won;Kim, Kyu-Kon;Lee, In-Sun
    • The Journal of Korean Medicine
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    • v.28 no.2 s.70
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    • pp.22-33
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    • 2007
  • Uterine myoma is a benign tumor of smooth muscle in the uterine wall. Recently, in Oriental medicine, concerns about uterine myoma patients have increased. We analyzed the medical records for 944 patients, including 257 uterine myoma patients, who visited Dongeui University Oriental Medical Center from May 2001 to June 2006. We investigated the DSOM (Diagnosis System of Oriental Medicine) symptom scores which effect uterine myoma patients using stepwise logistic regression model. Logistic regression analysis indicated as follows: In the control group composed of 558 outpatients, 18 items of DSOM were associated with myoma, 9 positively and 9 negatively, and the results showed that the correct rate was equal to 81.1%, sensitivity 72.8%, and specificity 84.9%. In 129 clinical trials data, 33 items of DSOM were associated with myoma, 18 positively and 15 negatively, and the results showed that the correct rate was equal to 85.8%, sensitivity 84.8%, and specificity 87.6%. In 687 outpatient and clinical trials data, 18 items of DSOM were associated with myoma, 10 positively and 8 negatively, and the results showed that the correct rate was equal to 82.8%, sensitivity 70.8%, and specificity 87.3%.

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JND-based Mobile Phone Optimal Vibration Frequency (JND를 이용한 휴대폰의 최적 진동 주파수 설계)

  • Lee, Bongwang;Park, Hyunho;Myung, Rohae
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.1
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    • pp.27-35
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    • 2004
  • A study was conducted to investigate an optimal vibration frequency for mobile phones with just noticeable difference(JND). The just noticeable difference, Weber's law, is the minimum amount by which stimulus intensity must be changed in order to produce a noticeable variation in sensory experience. In order to find the optimal vibration frequency, sixteen frequencies ranged from 24Hz to 603Hz were selected. Subjects then wereasked to differentiate a pair of vibration frequencies. For the analysis, the psychometric function to determine the optimal vibration frequency and the logistic regression to validate the determined frequency were used. The results show that the 2nd order polynomial equations were best fitted for the JND psychometric function and the optimal mobile phone vibrations were determined at 140Hz, 151 Hz, and 160Hz. With the ogive-shaped psychometric function developed by the logistic regression, the results of this study was validated that the determined vibration frequencies (140Hz, 151 Hz, and 160Hz) were optimal mobile phone vibration frequencies.

Use of a multinomial logistic regression model to evaluate risk factors for porcine circovirus type 2 infection on pig farms in the Republic of Korea

  • Kim, Eu-Tteum;Pak, Son-Il
    • Journal of Preventive Veterinary Medicine
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    • v.41 no.3
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    • pp.129-132
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    • 2017
  • The current study identified risk factors associated with porcine circovirus type 2 (PCV2) infection on pig farms in the Republic of Korea using a multinomial logistic regression model to evaluate the PCV2 infection status of pigs at different growth stages. Compulsory disinfection of visitors (odds ratio [OR]: 0.019, 95% confidence interval [CI]: <0.001-0.378, p=0.0095), compulsory registration of visitors (OR: 0.002, 95% CI: <0.001-0.184, p=0.0070), regular blood testing (OR: 0.012, 95% CI: <0.001-0.157, p=0.0007), and running on-farm biosecurity learning programs for workers (OR: 0.156, 95% CI: 0.040-0.604, p=0.0072 and OR: 0.201, 95% CI: 0.055-0.737, p=0.0155, respectively) were identified as factors which could reduce the risk of PCV2 infection. However, visitation by a regular veterinarian (OR: 32.733, 95% CI: 3.768-284.327, p=0.0016) was associated with PCV2 infection.

Estimation and Classification of COVID-19 through Climate Change: Focusing on Weather Data since 2018 (기후변화를 통한 코로나바이러스감염증-19 추정 및 분류: 2018년도 이후 기상데이터를 중심으로)

  • Kim, Youn-Su;Chang, In-Hong;Song, Kwang-Yoon
    • Journal of Integrative Natural Science
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    • v.14 no.2
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    • pp.41-49
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    • 2021
  • The causes of climate change are natural and artificial. Natural causes include changes in temperature and sunspot activities caused by changes in solar radiation due to large-scale volcanic activities, while artificial causes include increased greenhouse gas concentrations and land use changes. Studies have shown that excessive carbon use among artificial causes has accelerated global warming. Climate change is rapidly under way because of this. Due to climate change, the frequency and cycle of infectious disease viruses are greater and faster than before. Currently, the world is suffering greatly from coronavirus infection-19 (COVID-19). Korea is no exception. The first confirmed case occurred on January 20, 2020, and the number of infected people has steadily increased due to several waves since then, and many confirmed cases are occurring in 2021. In this study, we conduct a study on climate change before and after COVID-19 using weather data from Korea to determine whether climate change affects infectious disease viruses through logistic regression analysis. Based on this, we want to classify before and after COVID-19 through a logistic regression model to see how much classification rate we have. In addition, we compare monthly classification rates to see if there are seasonal classification differences.