• Title/Summary/Keyword: Hospital medicine

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Comparisons of Anxiety, Sexual Attitudes and Behaviors According to Smartphone Use and Contacts with Obscene Materials in University Students (대학생의 스마트 폰 사용 및 음란물 접촉에 따른 불안, 성 태도, 행동 비교)

  • Moon, Jong-Hoon;Jeon, Min-Jae;Lee, Chang-Hyung
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.203-213
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    • 2019
  • The purpose of this study was to compare the anxiety, sexual attitudes, and sexual behavior according to smartphone use and contacts with obscene materials. 110 university students surveyed demographic characteristics, smartphone use, contacts with obscene materials, anxiety, sexual attitudes, and sexual behavior, and analyzed 102 questionnaires except missing and incomplete responses. The collected data were analyzed by independent t-test or chi-square test. Men were significantly more likely to have contacts with obscene materials, sexual attitudes, and sexual behavior than the women (p<.05). In type of residence, boarding room or lodging was significantly higher at time of smartphone use, anxiety, and sexual behaviors than the home (p<.05). There was no difference in variables according to religion (p>.05). There was no difference in variables according to the level of academic achievement (p>.05). Time of smartphone use over 3 hours was significantly higher for contacts of obscene materials, anxiety, and sexual attitudes and behaviors than less 3 hours (p<.05). Higher levels of time of contacts with obscene materials were significantly higher in anxiety and sexual behaviors than lower level (p<.05). The results of this study can be used as a basis for the development of intervention programs for those who are experiencing excessive smartphone use and contacts with obscene materials.

The Role of Medical Technologists in Next-Generation Sequencing and Clinical Genetic Tests (임상유전자검사 및 차세대 염기서열분석을 위한 임상병리사의 역할)

  • Hyun-Seok JIN;Sangjung PARK;Mi-Sook AHN;Sangwook PARK
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.3
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    • pp.203-212
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    • 2023
  • Since the coronavirus disease-2019 (COVID-19) outbreak, it has been generally believed that a medical technologists (MTs) are supposed to perform polymerase chain reaction tests and next-generation sequencing (NGS) in the hospitals. However, many do not recognize that the duty of MT for clinical genetic testing has not been stated in the Medical Laws (72.5% for MT, N=200; 62.8% for students, N=123). In this regard, to evaluate the feasibility of MT's role for NGS genetic testing, we requested our subjects to fill out an online survey and analyzed the data. Among them, it shows that the scope of MT's role, including NGS performance should include clinical genetic testing (99.5% for MT, N=200; 86.8% for students, N=123). Also, questions on clinical genetics, which is associated with both cellular genetics and molecular genetic questions should be included in the National MT License Problem Bank (97.5% for MT; 71.4% for students). Based on these results, the Korean Association of Medical Technologists needs to cooperate synergically with the Academic Association of Biomedical Laboratory Science with respect to genetic education and legislation for the future benefit of both MTs and students.

Automatic detection and severity prediction of chronic kidney disease using machine learning classifiers (머신러닝 분류기를 사용한 만성콩팥병 자동 진단 및 중증도 예측 연구)

  • Jihyun Mun;Sunhee Kim;Myeong Ju Kim;Jiwon Ryu;Sejoong Kim;Minhwa Chung
    • Phonetics and Speech Sciences
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    • v.14 no.4
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    • pp.45-56
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    • 2022
  • This paper proposes an optimal methodology for automatically diagnosing and predicting the severity of the chronic kidney disease (CKD) using patients' utterances. In patients with CKD, the voice changes due to the weakening of respiratory and laryngeal muscles and vocal fold edema. Previous studies have phonetically analyzed the voices of patients with CKD, but no studies have been conducted to classify the voices of patients. In this paper, the utterances of patients with CKD were classified using the variety of utterance types (sustained vowel, sentence, general sentence), the feature sets [handcrafted features, extended Geneva Minimalistic Acoustic Parameter Set (eGeMAPS), CNN extracted features], and the classifiers (SVM, XGBoost). Total of 1,523 utterances which are 3 hours, 26 minutes, and 25 seconds long, are used. F1-score of 0.93 for automatically diagnosing a disease, 0.89 for a 3-classes problem, and 0.84 for a 5-classes problem were achieved. The highest performance was obtained when the combination of general sentence utterances, handcrafted feature set, and XGBoost was used. The result suggests that a general sentence utterance that can reflect all speakers' speech characteristics and an appropriate feature set extracted from there are adequate for the automatic classification of CKD patients' utterances.

Analysis of the annual changes in dental institutions that claimed dental sedatives in Korea and the types of sedatives using health care big data

  • Minjae Lee;Seong In Chi;Hyuk Kim;Kwang-Suk Seo
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.23 no.2
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    • pp.101-110
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    • 2023
  • Background: Dentists make various efforts to reduce patients' anxiety and fear associated with dental treatment. Dental sedation is an advanced method that dentists can perform to reduce patients' anxiety and fear and provide effective dental treatment. However, dental sedation is different from general dental treatment and requires separate learning, and if done incorrectly, can lead to serious complications. Therefore, sedation is performed by a limited number of dentists who have received specific training. This study aimed to investigate the proportion of dentists who practice sedation and the main sedatives they use in the context of the Republic of Korea. Methods: We used the customized health information data provided by the Korean National Health Insurance. We investigated the number of dental hospitals or clinics that claimed insurance for eight main sedatives commonly used in dental sedation from January, 2007 to September, 2019 at the Health Insurance Review and Assessment Service. We also identified the changes in the number of dental medical institutions by region and year and analyzed the number and proportion of dental medical institutions prescribing each sedative. Results: In 2007, 302 dental hospitals prescribed sedatives, and the number increased to 613 in 2019. In 2007, approximately 2.18% of the total 13,796 dental institutions prescribed sedatives, increasing to 3.31% in 2019. In 2007, 168 institutions (55.6%) prescribed N2O alone, and in 2019, 510 institutions (83.1%) made claims for it. In 2007, 76 (25.1%) hospitals made claims for chloral hydrate, but the number gradually decreased, with only 29 hospitals (4.7%) prescribing it in 2019. Hospitals that prescribed a combination of N2O, chloral hydrate, and hydroxyzine increased from 27 (8.9%) in 2007 to 51 (9%) in 2017 but decreased to 38 (6.1%) in 2019. The use of a combination of N2O and midazolam increased from 20 hospitals (6.6%) in 2007 to 51 hospitals (8.3%) in 2019. Conclusion: While there is a critical limitation to the investigation of dental hospitals performing sedation using insurance claims data, namely exclusion of dental clinics providing non-insured treatments, we found that in 2019, approximately 3.31% of the dental clinics were practicing sedation and that N2O was the most commonly prescribed sedative.

Changes in C-Reactive Protein and Complete Blood Cell Count According to Procalcitonin Levels (프로칼시토닌의 수준에 따른 C-반응성단백과 혈구산정검사의 변화)

  • Kim, Jin-San;Park, Chang-Eun
    • Korean Journal of Clinical Laboratory Science
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    • v.54 no.1
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    • pp.15-22
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    • 2022
  • Procalcitonin (PCT) can provide an experimental rationale and a diagnostic lead to distinguish between bacterial and viral infections. This study sought to investigate the clinical characteristics and prognosis of patients with high PCT levels, to improve clinical diagnosis, and to determine whether PCT levels were associated with the subsequent development of sepsis in the general population. This was a retrospective observational study conducted on outpatients (N=127) over a year. The general data and laboratory parameters studied were PCT, C-reactive protein (CRP), and complete blood count (CBC). The positive rates of CRP and white blood cells (WBCs) in the elevated PCT group were higher than those of the normal group (P<0.05); the specificity and sensitivity of the PCT levels were obviously higher than those of the CRP and WBC levels at diagnosis (P<0.05). The mean PCT levels in the low group were significantly higher than those in the high or moderate group (P<0.001). There was a significant positive correlation with CRP, total WBCs, and neutrophils (P<.001). The main finding of this study was the significant association between an elevated PCT level and CRP and WBC levels, signifying a high diagnostic value. This has important implications for the diagnosis of bacterial infections and therapeutic implications for the use of antibiotic treatment in specific patients.

A Deep Learning-based Depression Trend Analysis of Korean on Social Media (딥러닝 기반 소셜미디어 한글 텍스트 우울 경향 분석)

  • Park, Seojeong;Lee, Soobin;Kim, Woo Jung;Song, Min
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.91-117
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    • 2022
  • The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

The Utility of Chatbot for Learning in the Field of Radiology (방사선(학)과 분야에서 챗봇을 이용한 학습방법의 유용성)

  • Yoon-Seo Park;Yong-Ki Lee;Sung-Min Ahn
    • Journal of the Korean Society of Radiology
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    • v.17 no.3
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    • pp.411-416
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    • 2023
  • The purpose of this study is to investigate the utilization of major learning tools among radiology science students and assess the accuracy of a conversational artificial intelligence service program, specifically a chatbot, in the context of the national radiologic technologist licensing exam. The survey revealed that 84.3% of radiology science students actively utilize electronic devices during their learning process. In addition, 104 out of 140 respondents said they use search engines as a top priority for efficient data collection while studying. When asked about their awareness of chatbots, 80% of participants responded affirmatively, and 22.9% reported having used chatbots for academic purposes at least once. From 2018 to 2022, exam questions from the first and second periods were presented to the chatbot for answers. The results showed that ChatGPT's accuracy in answering first period questions increased from 48.28% to 60%, while for second period questions, it increased from 50% to 62.22%. Bing's accuracy in answering first period questions improved from 55% to 64.55%, and for second period questions, it increased from 48% to 52.22%. The study confirmed the general trend of radiology science students utilizing electronic devices for learning and obtaining information through the internet. However, conversational artificial intelligence service programs in the field of radiation science face challenges related to accuracy and reliability, and providing perfect solutions remains difficult, highlighting the need for continuous development and improvement.

Physical Activity Participation and Body Composition in Colorectal and Gastric Cancer Survivor (위암과 대장암 경험자의 신체구성 및 신체활동 참여 실태)

  • Lee, Mi Kyung;Min, Ji Hee;Jeon, Justin Y.
    • 한국체육학회지인문사회과학편
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    • v.55 no.3
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    • pp.465-472
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    • 2016
  • The purpose of this study was to analyze the amount of physical activity and body composition and to investigate physical activity according to cancer type, sex, and age among colorectal and gastric cancer survivors. A total of 354 participants who were colorectal (n=185) and gastric (n=169) cancer survivors had completed all treatment less than 4 years ago at Y university hospital between June 2014 and April 2015. The Global Physical Activity Questionnaire (GPAQ) was used to measure time and intensity of physical activity according to the different types of activity. The colorectal cancer survivors were significantly higher in body mass index, waist circumference, percent body fat, blood pressure, and the prevalence of diabetes compared to gastric cancer survivors. In addition, the results showed that only 26.5% of colorectal cancer survivors met American College of Sports Medicine (ACSM) guidelines (at least of 150 min of moderate intensity of higher physical activity per week) for physical activity, compared with 41.4% of gastric cancer survivors. Additionally, only 13.6% of colorectal and gastric cancer survivors met strength exercise guidelines. The male cancer survivors were significantly higher in moderate physical activity, participation in resistance exercise, and sedentary behaviors compared to female cancer survivors. In additions, less than 65 years cancer survivors were higher in strenuous intensity exercise and moderate physical activity compared to more than 65 years cancer survivors. The alternative for promoting physical activity participation rates of colorectal and gastric cancer survivors should be presented.

Correlation Analysis of Clinical Risk Factors and Atherosclerosis Diagnosed by Carotid Artery Ultrasonography (경동맥 초음파로 진단된 죽상동맥경화증과 위험인자의 관련성 분석)

  • Jee-Yeon Park;Sung-Hee Yang
    • Journal of the Korean Society of Radiology
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    • v.17 no.3
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    • pp.465-472
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    • 2023
  • In predicting vascular disease, this study attempted to identify changes in the carotid intima-media thickness in patients who underwent carotid artery ultrasonography and hematological tests and to find out the effect of risk factors on the expression of atherosclerotic plaque. A retrospective analysis was conducted on 469 healthy adults who visited the hospital for the purpose of medical examination and performed carotid artery ultrasonography. As a result, carotid intima-media thickness, age, body mass index, waist circumference, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and glucose were analyzed as significant predictors of atherosclerotic plaque (p<0.001). The risk ratio was calculated based on the cut off value of the risk factors of the atherosclerotic plaque determined through ROC curve analysis, followed by 8.06 times the carotid intima-media thickness, 7.53 times the age, 3.97 times the waist circumference and 2.02 times the glucose. Therefore, in this study it was possible to prepare a Korean standard for clinical risk factors that affect the presence of absence of atherosclerotic plaque and observation of carotid artery ultrasonography is thought to help diagnose or predict cardiovascular disease early.

Association between Hypertriglyceridemic-Waist Phenotype and Metabolic Abnormalities in Hypertensive Adults (고혈압자의 고중성지방혈증-허리 표현형과 대사이상 사이의 연관성)

  • Kyung-A SHIN;Myung Shin KANG
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.2
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    • pp.113-120
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    • 2023
  • The hypertriglyceridemic-waist (HTGW) phenotype can predict the risk of coronary artery disease. This study evaluated the relationship between the HTGW phenotype and metabolic abnormalities in hypertensive adults. The test was conducted on adult hypertension patients aged 20 or older who underwent health checkups from January 2018 to December 2021 at general hospitals in Gyeonggi Province. The HTGW phenotype was triglyceride ≥150 mg/dL and waist circumference ≥90 cm for men and ≥85 cm for women. The prevalence of the HTGW phenotype in the study subjects was 17.9%. After adjusting for age, gender, and BMI, the odds ratio of the HTGW group was 5.09 (95% confidence interval [CI]: 3.545~7.309) for low HDL-cholesterol, 1.68 (95% CI: 1.176~2.411) for high LDL-cholesterol, was 2.92 (95% CI: 2.009~4.235) for high total cholesterol, 3.39 (95% CI: 2.124~5.412) for diabetes and 1.85 (95% CI: 1.286~2.674) for hyperuricemia compared to the normal triglyceride levels with the normal waist (NTNW) group. The area under curve values of the HTGW phenotype for diagnosing metabolic syndrome were 0.849 for all subjects, 0.858 for men, and 0.890 for women. In conclusion, the HTGW phenotype is closely related to metabolic abnormalities and is a useful indicator for monitoring adult hypertensive patients with metabolic syndrome.