• Title/Summary/Keyword: Biological Knowledge

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Gender Differences in Cardiac Knowledge and Symptoms Recognition in Patients with Acute Coronary Syndromes (일 대학병원에 내원한 급성 관상동맥증후군 환자의 성별에 따른 질병지식 및 증상인지 비교)

  • Lee, Eun-Kyoung;Son, Youn-Jung
    • Journal of Korean Biological Nursing Science
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    • v.12 no.3
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    • pp.166-174
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    • 2010
  • Purpose: The purpose of this study was to compare the cardiac knowledge and symptoms recognition between men and women with acute coronary syndrome (ACS). Methods: Cross-sectional survey research design and convenience sampling were used in this study. 64 men and 42 women from a university medical center were participated in this study. Data collection were used with self reported questionnaires and medical records. Results: There was no difference in cardiac knowledge by gender. Women marked the higher score in symptoms recognition than men. Significant gender differences were observed in the reports of several symptoms (headache, nausea, palpitation, hand paresthesia, and leg numbness) and with ACS. There was significant correlation between cardiac knowledge and symptom recognition on both men and women. Conclusion: These findings suggest that health care professionals should pay attention to the differences in clinical symptoms between women and men. Furthermore, tailored information about possible symptoms of coronary artery disease according to the patient's gender is needed.

TAKES: Two-step Approach for Knowledge Extraction in Biomedical Digital Libraries

  • Song, Min
    • Journal of Information Science Theory and Practice
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    • v.2 no.1
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    • pp.6-21
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    • 2014
  • This paper proposes a novel knowledge extraction system, TAKES (Two-step Approach for Knowledge Extraction System), which integrates advanced techniques from Information Retrieval (IR), Information Extraction (IE), and Natural Language Processing (NLP). In particular, TAKES adopts a novel keyphrase extraction-based query expansion technique to collect promising documents. It also uses a Conditional Random Field-based machine learning technique to extract important biological entities and relations. TAKES is applied to biological knowledge extraction, particularly retrieving promising documents that contain Protein-Protein Interaction (PPI) and extracting PPI pairs. TAKES consists of two major components: DocSpotter, which is used to query and retrieve promising documents for extraction, and a Conditional Random Field (CRF)-based entity extraction component known as FCRF. The present paper investigated research problems addressing the issues with a knowledge extraction system and conducted a series of experiments to test our hypotheses. The findings from the experiments are as follows: First, the author verified, using three different test collections to measure the performance of our query expansion technique, that DocSpotter is robust and highly accurate when compared to Okapi BM25 and SLIPPER. Second, the author verified that our relation extraction algorithm, FCRF, is highly accurate in terms of F-Measure compared to four other competitive extraction algorithms: Support Vector Machine, Maximum Entropy, Single POS HMM, and Rapier.

The Relationships between Body Mass Index, Nutrition Knowledge and the Health Promotion Behavior of Nursing Students (간호대학생의 체질량지수와 영양지식 및 건강증진행위와의 관계)

  • Kim, Su Ol
    • Journal of Korean Biological Nursing Science
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    • v.18 no.2
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    • pp.87-93
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    • 2016
  • Purpose: This study was done to identify the relationships between body mass index, nutritional knowledge and the health promotion behavior of nursing students. Methods: Participants consisted of the entire 330 members of the student body of a Korean nursing college. Variables included body mass index, nutritional knowledge and health promotion behavior as well as demographic variables. Data was analyzed by frequencies, ANOVA and Pearson's correlation with the SPSS/Win 21.0 program. Results: The mean score for body mass index was $20.23kg/m^2$ for nutritional knowledge, $14.27{\pm}3.07$ on a total 20-point scale, and for health promotion behavior, $3.03{\pm}0.34$ on a 4-point scale. Nutrition knowledge positively correlated with health promotion behavior (r=.368, p<.001). Health promotion behavior positively correlated with underweightness (r=.120, p=.005), normal weight (r=.212, p<.001), negatively correlated to overweightness (r=-.351, p<.001), and obesity (r=-.413, p<.001). Nutrition knowledge positively correlated to underweightness (r=.155, p=.005), and normal weight (r=.346, p<.001), negatively correlated to overweightness (r=-.548, p<.001), and obesity (r=-.342, p<.001). Conclusion: In order to enhance the effective health promotion behavior of nursing students, it is important to actively intervene to improve body weight control behavior and nutritional knowledge. Therefore, developing an educational program for improving nutritional knowledge and body weight control behavior of nursing students is recommended.

The Factors Associated with Dietary Knowledge and Educational Needs of Stroke Patients (뇌졸중 환자의 식이지식 및 식이교육 요구도 관련 요인)

  • Baek, Jihyun;Choi-kwon, Smi;Park, Da-In;Hong, Eunji;Yoon, Byung-Woo
    • Journal of Korean Biological Nursing Science
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    • v.22 no.1
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    • pp.61-70
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    • 2020
  • Purpose: The purpose of the this study was to examine the dietary knowledge and educational needs of stroke patients and analyze the related factors that are associated with dietary knowledge and educational needs. Methods: Our study analyzed data from 146 stroke patients. The survey was conducted by individual interviews using questionnaires and data collected from participants' medical records. Dietary knowledge and educational needs were measured by tools developed by the author. Results: The mean scores for the dietary knowledge and educational needs were 19.09±3.48 and 36.17±7.18, respectively. Many stroke patients had misconceptions about soy sauce, cholesterol, and fruits. The most needed items in dietary education was first identifying foods that are beneficial or harmful, and second, food interaction with medications. As for the results of multiple regressions, dietary knowledge was significantly associated with gender, educational attainment, monthly income, exercise, body mass index, and level of compliance to dietary therapy. Additionally, the educational needs were significantly related with educational attainment and employment. Conclusion: For secondary prevention of stroke patients, education strategy considering dietary knowledge and educational needs of stroke patients should be established. Special attention is needed for stroke patients with a lower level of dietary knowledge and educational needs.

Nursing Genetics in 'Postgenome' Era ('포스트 게놈' 시대에서 간호학의 과제)

  • ChoiKwon, S-Mi
    • Journal of Korean Biological Nursing Science
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    • v.7 no.1
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    • pp.5-14
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    • 2005
  • Since the Human Genome Project(HGP) has begun in the mid 1980s, the sequencing of the human genome has been finally completed in 2001. The knowledge developed from the HGP has revolutionized how health care professionals think about patient care, mandating a new paradigm of patient care in totally inconceivable ways from the past. For instance, the patients at risk for disease can be identified early enough for intervention; the medicine can be tailored for individual patients based on their own genetic information ; the gene therapy could be a common procedure in the near future. The advancement in genetics, therefore, requires the shift of paradigm not only in nursing education, practice, but also in nursing research. It is attempted, in this article to introduce briefly the basic knowledge of genetics, the pharmacogenomics, and the overview of national genetic research initiated and organized by the Center for Functional Analysis of Human Genome in Korea. The current state of nursing genetic knowledge and its implications on nursing education, practice, and research has examined. Furthermore, the visions and the opportunities for nursing science and practice to participate in this genetic revolution were also explored.

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Plan for Construction and Utilization of Knowledge-Service Platform for Supporting Biomimicry Technology Development

  • Seo, Hyunjin;Bae, Haejin;Kim, Sun-Joong;Kim, Jinhee
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.3 no.3
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    • pp.178-186
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    • 2022
  • In order to support biomimicry technology development, it is necessary to develop an omnidirectional service platform which can recommend principles of biomimicry and business ideas, providing experts' networks and carrying out their relevant education and promotion on the ground of baseline data and application research materials related to biomimicry. This study was conducted to establish any probable plans for construction and utilization of the future open-platform which will collect and serve the technology of biomimicry. Accordingly, biological and ecological information databases were examined along with the appreciation of construction and management of major biomimicry DB, and, based on the materials from the interview of related experts, a customer journey map was schematized. Lastly, in order to suggest a mid-to-long-term target-model, the roles of a future biomimicry knowledge service-platform were determined along with the potential plans for its construction and management based on case analysis and customers' needs.

In-silico inferences for expression data using IGAM: Applied to Fuzzy-Clustering & Regulatory Network Modeling (연판 지식을 이용한 유전자 발현 데이터 분석: 퍼지 플러스링과 조절 네트웍 모델링에의 응용)

  • Lee, Philhyone;Hojeong Nam;Lee, Doheon;Lee, Kwang H.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.273-276
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    • 2004
  • Genome-scale expression data provides us with valuable insights about organisms, but the biological validation of in-silico analysis is difficult and often controversial. Here we present a new approach for integrating previously established knowledge with computational analysis. Based on the known biological evidences, IGAM (Integrated Gene Association Matrix) automatically estimates the relatedness between a pair of genes. We combined this association knowledge to the regulatory network modeling and fuzzy clustering in yeast 5. Cerevisiae. The result was found to be more effective for extracting biological meanings from in-silico inferences for gene expression data.

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Quantitative Analysis of Biological Models under the Internet Environment (인터넷 환경을 통한 생물학적 모델의 정량적 분석)

  • Yun, Choa-Mun;Lee, Dong-Yup;Cho, A-Youn;Lee, Sang-Yup;Park, Sun-Won
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.10
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    • pp.837-842
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    • 2005
  • The computational modeling and simulation of complex biological systems are indispensable for new knowledge extraction from huge experimental data and ever growing vast amount of information in systems biology. Moreover, gathering and sharing of the existing information and newly-generated knowledge can speed up this research process. In this regard, several modeling projects have been undertaken for quantitatively analyzing the biological systems via the internet. They include Virtual Cell, JWS and OBIYagns. We also develop an integrated web-based environment, which facilitate investigation of dynamic behavior of cellular systems.

Study on Knowledge Levels of Pre-dialysis, Chronic Renal Failure Patients at Glomerular Filtration Rates (GFRs) and Their Educational Demands (사구체 여과율에 따른 투석 전 만성 신부전 환자의 질병 관련 지식 정도와 교육 요구도 조사)

  • Kim, Hye-Won;ChoiKwon, S-Mi
    • Journal of Korean Biological Nursing Science
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    • v.12 no.2
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    • pp.114-126
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    • 2010
  • Purpose: To examine the levels of the disease-related knowledge and educational demands of pre-dialysis, chronic renal failure patients at different GFRs and stages. Methods: This study used a cross-sectional survey and aimed at 116 pre-dialysis, chronic renal failure patients, who were registered and received regular treatment from December 1 to December 31, 2009 at the nephrology departments of tertiary medical centers in Seoul. Stages were classified into Stage 3, 4 and 5 depending on GFR ranges. To measure the levels of knowledge and educational demands, the tool, which were first invented by Young Ae Lim (1996) and then modified by Hyo Sun Lim (2005) to adjust the knowledge and educational demands measuring tool for hemodialysis patients to pre-dialysis patients with chronic renal failure, was used. Collected data was analyzed with the SPSS WIN 12.0 program (average, standard deviation, Pearson's correlation coefficient, t-test and ANOVA). Results: There was a significant difference in the disease-related knowledge levels of the subjects at each stage (F=24.41, p=.000). The Scheffe post hoc test confirmed that patients at higher stages had higher levels of knowledge of their disease. Also, although the results showed that patients at higher stages had higher educational demands, there was no significant difference among the groups (F=1.259, p=.288). Conclusion: As patients have different levels of knowledge of the disease and educational demands depending on their stages, it is important to develop and use a systematic education program that reflects the demands and levels of patients at each stage in order to help pre-dialysis patients with chronic renal failure with self-management and improve their quality of life.

Effects of an Extreme Heat Adaptation Program in Hypertensive Patients (고혈압환자의 폭염 적응력 증진을 위한 프로그램 효과)

  • Jeong, Seong Hee;Kim, Nam Soon;Chae, Sumi;Lee, Eun Ju
    • Journal of Korean Biological Nursing Science
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    • v.16 no.3
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    • pp.164-172
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    • 2014
  • Purpose: The purpose of this study was to identify the effects of an extreme heat Adaptation Program on the blood pressure, stress response, self-efficacy, and knowledge of management of hypertension and extreme heat of patients who suffered from hypertension. Methods: A quasi-experimental study with a non-equivalent control group pretest-posttest design was used. The data collection period was between July 2 and August 20, 2012. Thirty-seven patients participated in the study (18 in the experimental group and 19 in the control group). Data were analyzed using $X^2$-test, t-test, and Cronbach's alpha coefficients with SPSS/WIN 19.0. Results: Patients who participated in the program showed statistically significant improvements in systolic blood pressure (SBP), self-efficacy, and knowledge of management of hypertension and extreme heat. Conclusion: The results indicate that this extreme heat adaptation program can be utilized for patients suffering from hypertension in order to reduce their SBP and to increase self-efficacy and knowledge of management of hypertension and extreme heat. Therefore, it is recommended that this program be used for elderly patients suffering from chronic disease.