• Title/Summary/Keyword: Effective Study Habits

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Comparison of Clinical Characteristics by Types of Enuresis in Children Utilizing Questionnaires (병력취득 설문지를 이용한 야뇨증의 형태에 따른 임상양상의 비교)

  • Choi, Jung-Youn;Park, Yong-Hoon
    • Childhood Kidney Diseases
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    • v.11 no.2
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    • pp.264-271
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    • 2007
  • Purpose : It is important to take a precise history of patients to diagnose enuresis. However, this is difficult to perform in the outpatient department, because the consultation time is limited. So by taking the medical histories with questionnaires, we classified the enuresis patients into monosymptomatic and non-monosymptomatic groups and compared the clinical characteristics between the two groups in order to determine whether this would aid in the diagnosis and treatment of enuresis. Methods : Thirty-four enuresis patients seen in the Department of Pediatrics at Yeungnam University Hospital from 2004 January to 2005 July were enrolled in this study. Two to three weeks before starting medical treatment, questionnaires about the patients' urination habits and past medical history were taken from the Parents with consents. Results : There were 21 patients in the monosymptomatic group and 13 patients in the non-monosymptomatic group. There was no difference in the delivery mode, birth weight, birth order, sleep habit, constipation, and treatment results between the two groups. Urinary infection was more frequently observed in the non-monosymptomatic group. There was a higher incidence of daytime incontinence and a past medical history of allergy in the non-monosymptomatic group. Oriental medicine was the most common treatment of enuresis before visiting the hospital, but the treatment effect was minimal. Conclusion : Comparison between the monosymptomatic and non-monosymptomatic group with the questionnaires was helpful for detailed diagnosis and treatment of enuresis. A more effective education for enuresis patients is needed, since before visiting the hospital many of them wasted their efforts with ineffective oriental medicine treatment. (J Korean Soc Pediatr Nephrol 2007;11:264-271)

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Prevalence and Related Factors of Clonorchis Sinensis for High Risk Population in the Han Riverside Area (한강 유역 간흡충 고위험군의 감염과 관련요인)

  • Kim, Hee-Gerl;Kang, Hee-Kyoung;So, Ae-Young;Kim, Young-Si;Park, Jeong-In;Han, Eun-Hyae;Tak, Kyung-Sook;Lee, Sun-Hee;Kim, Jin-Soon;Han, Myung-Ja;Cha, Sun-Sook;Sung, Myung-Soon;Choi, Sun-Ja
    • Journal of Korean Academy of Rural Health Nursing
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    • v.4 no.1
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    • pp.13-21
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    • 2009
  • Purpose: This study was done to investigate the prevalence and related factors of Clonorchis Sinensis for inhabitants of the Han riverside area and to identify knowledge related to Clonorchis Sinensis and intended behavioral changes to decrease risk of infection. Method: The data were collected from December 16, 2008 to January 10, 2009. Participants were 555 people who responded to a questionnaire. Frequency, percentage, $X^2$-test, and t-test were used to analyze the data. Results: The prevalence of Clonorchis Sinensis was 7.9% in this population. Related factors for Clonorchis Sinensis were gender (male=10.8%, female=3.6%, p=0.002) and smoking (p=0.007). but habits related to ingestion of alcohol and raw fish were not significant. As for knowledge of Clonorchis Sinensis, the Clonorchiasis group had a mean score of 10.09 $({\pm}3.95)$ of a possible 17 compared to a score of only 8.27$({\pm}4.60)$ for the negative group (p=0.011). The intended behavioral change related to risk of infection, according to presence of infection or not, was significant (p=0.004). Conclusion: These results suggest that Clonorchiasis is still highly endemic in all risk areas such as the Han riverside, indicating that it is necessary to set up effective management programs for patient care and prevention of Clonorchis Sinensis.

A Study on Weight Loss Effect and Safety of Integrated Korean Medicine Treatment on Obese Patients in Local Clinics: A Restrospective Chart Review (한의원 진료환경에서 비만환자 대상 한의통합치료의 체중 감량 효과 및 안전성에 관한 연구: 후향적 차트 리뷰)

  • Ojin Kwon;Changsop Yang;Young Jin Kim;Won Hae Ku;Won Gu Lee;Ki Byung Kim;Kyung Hwan Jegal
    • Journal of Korean Medicine for Obesity Research
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    • v.22 no.2
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    • pp.125-135
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    • 2022
  • Objectives: A restrospective chart review were conducted to investigate the overall weight loss effect of the integrated Korean medicine treatment on obese patients (body mass index [BMI] ≥25 kg/m2) in Korean medicine clinic and analyze the difference in the effect according to lifestyle behaviors. Methods: The medical records of 43 obese patients were retrospectively analyzed including body weight, BMI, waist circumference, hip circumference, and body composition who received integrated Korean medicine treatment for 4 weeks at 24 Korean medicine clinics in Daejeon metropolitan city. All outcome measures were evaluated again 8 weeks after the end of treatment at week 12 for follow-up. EuroQol-5D (EQ-5D), the Korean version of the obesity-related quality of life scale (KOQOL) and patient's satisfaction were also evaluated. The analysis was divided according to the treatment period and observation period, and subgroup analysis was performed according to drinking and exercise habits. Results: Body weight, body fat, waist circumference, hip circumference, body fat were significantly reduced at week 4 and week 12. Theses weight reduction effects were significantly greater within treatment period (0 to 4 week) than observation period (4 to 12 week). Especially in the non-exercise group, the changes in body fat mass and body fat percent showed a significant difference between the treatment period and the observation period. KOQOL were also significantly improved at 12 week, but not in EQ-5D. No severe adverse events were observed. Conclusions: The integrated Korean medicine treatment could be effective to treat obesity including weight loss. It is necessary to prevent additional weight regain through regular exercise even after Korean medicine treatment.

Research on artificial intelligence based battery analysis and evaluation methods using electric vehicle operation data (전기 차 운행 데이터를 활용한 인공지능 기반의 배터리 분석 및 평가 방법 연구)

  • SeungMo Hong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.385-391
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    • 2023
  • As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.

Effect of Individualized Exercise Program for Preventing Metabolic Syndrome among IT Company Office Workers (IT 기업 사무직 근로자의 대사증후군 예방을 위한 맞춤형 운동프로그램의 효과)

  • Kyungun Bae;Sung Hyun You;Dabi Shin;Yuncheol Ha;Hongmin Kim;Byungchan Pak;Hyosang Kim;Shinae Park
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.34 no.1
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    • pp.77-84
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    • 2024
  • Objectives: Interventions promoting physical exercise and healthy habits in workplaces have been shown to be effective in reducing risk factors for metabolic syndrome. This study was conducted to examine the effects of an individualized conditioning exercise program of IT company office workers with or at higher risk of metabolic syndrome. Methods: A total of 444 IT company office workers with or at higher risk of metabolic syndrome participated in a 3-month conditioning exercise program. Body composition data using bioelectrical impedance analysis and cardiopulmonary data using cardiopulmonary exercise testing from 53 individuals (mean age: 34.8 ± 7.1 years, sex : 21% female, height : 170.4 ± 6.8 cm, weight : 75.2±12.2 kg, body mass index : 25.8±3.3 kg/m2) who have successfully completed pre-test, intervention, and post-test were analyzed. The 12 weeks intervention encompassed: (1) health counseling (2) supervised exercise(endurance-based, aerobic exercise, or circuit training once a week for 50 minutes at heart rate reserve(HRR) of 77-95%) (3) self-directed exercise and biweekly health screening checks. Results: The results indicated a significant decrease in body weight, body fat mass and body mass index, respectively. Moreover, VO2peak, AT VO2 and AT Time significantly improved, respectively. Resting blood pressure(SBP/DBP) showed positive changes but were not statistically significant. We observed the correlation between characteristics of participants and rate of changes in cardiopulmonary outcomes of participants, there are no significant correlation. These results indicate positive changes in body composition and cardiorespiratory fitness parameters following individualized conditioning exercise program. Conclusions: Individualized workplace exercise program for preventing metabolic syndrome can lead to improvements in body composition and cardiorespiratory fitness.

Students' and Parents' Perceptions of Nutrition Education in Elementary Schools (초등학교 영양교육에 대한 학생과 학부모의 인식도 조사)

  • Kim, Hyun-Hee;Park, Yoo-Hwa;Shin, Eun-Kyung;Shin, Kyung-Hee;Bae, In-Sook;Lee, Yeon-Kyung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.35 no.8
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    • pp.1016-1024
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    • 2006
  • The purpose of this study was to investigate students' and parents' perceptions of nutrition education. In this survey, 7,577 elementary school students and 6,003 of their parents across the country were surveyed about the necessity of implementing nutrition education, its present status and problems and future methods for nutrition education implementation. The results showed that 96.6% of the parents and 62.8% of the students responded that nutrition education was urgently needed, at least once per week in the lower grades of elementary school, and that it should be related to and coordinated with special activities class. In addition, the survey showed that students and their parents wanted nutrition teachers to establish a nutrition counseling room, a practical cooking class, a special activity class, and/or dietary camp during school breaks. With regard to the status of nutrition education at home, there was statistical evidence that suggests significant differences between urban and rural schools. Approximately 63% of the parents indicated that they had difficulty teaching nutrition education in their own homes, because it was difficult to determine the dietary habits and nutritional status of their children. When asked about attending a dietary class for parents, 74% expressed their intent to attend. Parents were most interested in learning about cooking practices, diet therapy, and food information in that order. The results showed that the most effective method of dietary education was to teach appropriate nutritional practices in school and at home simultaneously. Hence, necessary information and education should be provided through special lectures, special cooking classes, and dietary classes for parents. The conclusions of this study suggest that a variety of education programs should be developed to achieve effective nutrition education for students and their parents.

Problems Analysis Related to Nutrition and the Development of Nutrition Education Programs for High School Students(II) - A Study Centered on the Development of Nutrition Education Programs for High School Students - (고등학생의 영양 관련 문제점 분석 및 영양 교육 프로그램 개발 ( II ) - 고등학생 대상 영양 교육 프로그램 개발 -)

  • Lee, Eun-Ju;Soh, Hye-Kyung;Choi, Bong-Soon
    • Journal of the East Asian Society of Dietary Life
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    • v.17 no.3
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    • pp.351-363
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    • 2007
  • Previously, we analyzed for nutrition knowledge and the use of nutrition knowledge in the everyday lives of students in order to develop nutrition education programs that focus on desirable behavior change. From this, we found that female students desired to participate in nutrition education more than male students, and regarding their concerns for nutrition education, 73.2% of the females and 50.0% of the males displayed interest in 'obesity and the regulation of body weight'. Therefore, this study showed female students give more attention to the obesity and the regulation of body weight than male students(p=.000<.001). In addition, female students had higher interests($8.63{\pm}1.67$) than male students ($7.45{\pm}2.03$) in nutrition knowledge(p=.000<.001). By investigating the use of nutrition knowledge in everyday life, our research indicated that the actual use of nutrition knowledge was less. To encourage students to persue dietary lives addressing the concerns confirmed above, the following needed to occur. 1) Provide them nutrition information for the main processed foodstuffs encountered when dining out(breads, cakes, cookies, and carbonated beverage). 2) Teach them to read food nutrition labels. 3) Help them find a lifestyle connection through lasting self-management methods and the generation of social support. Accordingly, this required developing effective and practical nutrition education programs that considered regional characteristics and gender differences. The most important factors considered during nutrition education program development were the need for motivation and ongoing education by stage of change, rather than temporal education through specific problem analysis, in order that those being educated may bring about a change of behavior by themselves. Therefore, from this study, we have suggested the use of multilateral operating strategies for successful nutrition education. In addition the phase model of behavior change should be applied. Our programs were aimed at self owned nutritional management so that students could master their own methods for acquiring skills and enjoying dietary life. The research may be summed up as follows. First, the purpose of education at the recognition stage of change was to attempt motivation for nutrition improvement, by analyzing the problems such as food buying habit and the main purchasing viewpoints when dining out. Second, the purpose of education at the action stage of change was to help students acquire of concrete methods for behavior modification by linking the program to their home as well as to teachers with various activities that suited the situation at school. This was done by analyzing the processes and decisions pertaining to dining out the main processed foodstuffs and principal components, etc. through data and experimental practice. Third, the purpose of education for changing of habits and values, or the maintenance stage, was to investigate the various reasons that undesirable behaviors were induced, and then determine a lasting self-management method as well as how to generate social support. If the nutrition education program developed in this study is utilized on site, someone in the primary role as the nutrition educator and trained specifically in nutrition, can help induce the health promotion in the community as well as lasting dietary management, by executing a link with families in parallel with educating teaching staff and students' parents. In addition, this program can playa role in the government policies related to the health promotion for our youth who are the foundation of our nation and who can enhance our national competitive power.

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A Study of Industrial Patients from Selected General Hospitals in the Kyung Pook and Taegu City Areas (일부지역 산업재해환자 실태 연구 -대구, 경북지역 일부 종합병원 중심으로-)

  • 허춘복;남철현
    • Journal of Environmental Health Sciences
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    • v.17 no.2
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    • pp.78-94
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    • 1991
  • The purpose of this study is to research the actual conditions of industrial accident patients and to produce worker satisfaction and a rational and effective counter measure pain. Direct interviews with 179 cases (in and out patients) were carried out during a three month period from April to July 1990, at six hospitals two general hospitals Sun Lin and Sung Mo in Po Hang, and four general hospitals in Taegu Kyung Pook University Hospital, Dong San Medical Center, Young Nam Medical Center and Catholic Hospital. The results of this study are summarized as follows: 1. Among the 179 cases, 51.6 % were male and 48.4 % were female. The two largest age groups were 30~39, 31.8 % and 20~29, 27.4 %. Among the 179 cases, 51.6% were married, the largest family number was 2 to 3, 41.1% and 4 to 5, 25.6%. Educationally, graduation from high school was the largest group, 46.4% among the patients, followed by middle school and primary school. The largest group income level was from 40~69만원, 45.2%. The largest group of patients who worked over 50 hrs. a week was 52.0%. The largest group of patients who worked less than 1 year was 44.7%, of the patients in work places of less than 100 people, 60.3% were injured and in work places of 100~299 people, 20.1% were injured. In manufacturing, the lagest group injured was 55.3%, the next group was transport, stroage, communication. The largest group of production workers injured was 40.2%. 2. The cause of injury in the largest group was facility problems, 33.5%. The next group was unsafe habits, 30.2% a lack of safety knowledge, 17.9% and insufficient supervision, 12.3%. The 30~39 year age group was head the highest number of injuries, 40.4% work places with more than 10 yeras of work, 44.4% work palces with more than 1000 people, 56.3% and mining accidents, 80.0%. Among these groups the highest cause of injury was due to facility problems. 3. The accident pattern showed machinery injuries 28.5% as the largest group, followed by falls & falling objects 17.3%, fire & electric 15.1%, struke by an object 14.5%, followed by overaction and vehicular accidents. The accident pattern showed 46.4 % among workers over the 50 year age group, workers in the 5~10 year group, 50.0 % places employing more than 1000 workers, 35.3 % : construction 73.7%, and construction workers 57.1%, among these fall & falling objects caused the greatest number of injuries. 4. The largest group of injuries was fractures 54.8%, trauma 14.5%, amputation 11.7%, open wound, and burns. The largest number of fractures occurred in people in the 30~39 year age group, 63.2 % over 10 years of work, 55.6% in work places of 300~400 people, 63.6% construction 63.2% and general workers 57.2 %. 5. The largest group of injuries was upper extremity 45.3%, lower extremity 24.0%, trunk 18.5 % and head or neck 12.2%. Of these groups, upper extremity injuries were the highest in those less 20 years old 75.0%, less than 1 years of work 59.5%, in work places of 500~999 people 60.0%, manufacturing 56.6 % and production workers 55.6%. 6. Periods of injury showed 34 people injured in September, to be the largest followed by October, 32 August, 22 people July, 19 people and the lowest December, 2 people. During the week, Friday had the largest group injured, 35 people followed by Saturday, 26 people and the lowest was Wednesday, 17 people, During the day 1400 hours had the largest group injured, 38 people followed by 800 hours, 31 people. 7. On a basis of 5 as the highest mark, the average, according to worker satisfaction showed facility safety 3.55, work environment 3.47, income 3.44, job 3.21 and treatment 2.98. 8. The correlation between general characteristics and injury showed that age was directly correlated to the duration of work(r=.2591) p<0.01, age was directly correlated to industry (r=2311) p<0.01, and the duration was directly correlated to occupation(r =.4372) p<0.001.

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Effect of Exercise Program of a Public Health Subcenter for Middle and Old Aged Women in an Urban Area (장.노년기 여성의 운동 프로그램 시행 전.후의 신체계측치와 혈액검사치의 변화 비교- 일개 도시 보건지소를 중심으로 -)

  • Gueon, Jun-Gyeong;Lee, Kyeong-Soo;Hwang, Tae-Yoon;Sohn, Seok-Joon;Kim, Kyoung-Won;Jang, Eun-Jin
    • Journal of agricultural medicine and community health
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    • v.34 no.3
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    • pp.359-367
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    • 2009
  • Objectives: This study was to identify the changes of body fat, blood pressure, blood glucose and serum lipid of middle and old aged women after participation in exercise program which includes aerobic(dance sports) and anaerobic(dumbbell gymnastics) exercises. Methods: One hundred women aged from 55 to 72 were surveyed before and after an exercise program. The exercise program was provided to the subjects performed during 6 months from July, 2007 to December, 2007 at a public health subcenter in Gumi City. Questionnaire survey for general characteristics, anthropometric measurement and blood test were taken before starting the program and anthropometric measurement and blood test after completing the program. Results: Body Weight, body fat and blood pressure showed significant change after the exercise program(p<0.05). Additionally in total glucose, total cholesterol and triglyceride significant change was observed(p>0.05). Waite circumference decreased, however did not show statistically significant difference. Conclusions: It was effective to participate in dance sports and dumbbell gymnastics exercise regularly. All of the positive changes through the study showed that there should be the program for middle and old aged women to exercise actively and also the middle and old aged women need have a active exercise habits as regular as possible. Additional studies confirming the results of this study are needed to compare the effects of the dance sports and dumbbell gymnastics exercise on the other age groups.

Building battery deterioration prediction model using real field data (머신러닝 기법을 이용한 납축전지 열화 예측 모델 개발)

  • Choi, Keunho;Kim, Gunwoo
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.243-264
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    • 2018
  • Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.