• Title/Summary/Keyword: Self-health diagnosis

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Developing an Intelligent Health Pre-diagnosis System for Korean Traditional Medicine Public User

  • Kim, Kwang Baek
    • Journal of information and communication convergence engineering
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    • v.15 no.2
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    • pp.85-90
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    • 2017
  • Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use.

Implementation of the Intelligent System using RFID for HealthCare Self-Diagnosis (RFID를 이용한 헬스케어 자가진단 지능형시스템 구현)

  • Son, Hui-Bae;Kim, Min-Soo;Rhee, Young-Chul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.1
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    • pp.146-152
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    • 2010
  • In this paper, we implemented the intelligent healthcare system self-diagnosis that can achieve self-diagnosis by measured bio-signal(blood pressure, blood sugar, body fat monitor) after the recognize a user to access using RFID. The implemented healthcare self-diagnosis intelligent system is consist of kiosk structure that is RFID reader, bio-signal measuring instrument(hemadynamometer, glucometer, body fat monitor), computer for a part of database server and printer for print the result of self-diagnosis. It can achieve self-diagnosis of a user after compare and analyze the measured data and information of a user from database. The implemented system can make simple self-diagnosis even if not take a physical examination at hospital and apply to company, school, etc.

Self Health Diagnosis System of Oriental Medicine Using Enhanced Fuzzy ART Algorithm (개선된 퍼지 ART 알고리즘을 이용한 한방 자가 진단 시스템)

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.2
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    • pp.27-34
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    • 2010
  • Recently, lots of internet service companies provide on-line health diagnosis systems. But general persons not having expert knowledge are difficult to use, because most of the health diagnosis systems present prescriptions or dietetic treatments for diseases based on western medicine. In this paper, a self health diagnosis system of oriental medicine coinciding with physical characteristics of Korean using fuzzy ART algorithm, is proposed. In the proposed system, three high rank of diseases having high similarity values are derived by comparing symptoms presented by a user with learned symptoms of specific diseases based on treatment records using neural networks. And also the proposed system shows overall symptoms and folk remedies for the three high rank of diseases. Database on diseases and symptoms is built by several oriental medicine books and then verified by a medical specialist of oriental medicine. The proposed self health diagnosis system of oriental medicine showed better performance than conventional health diagnosis systems by means of learning diseases and symptoms using treatment records.

Study on Clinical Establish Direction for Oriental Medicine Diagnosis Methods (한방진단방법에 대한 임상적 설정방향연구)

  • Kim Kwang-Joong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.1
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    • pp.245-256
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    • 2006
  • This research sought to survey oriental medicine diagnosis methods currently practiced, analyze their advantages and disadvantages, and work out clinical establish direction for oriental medicine diagnosis methods. Oriental medicine diagnosis methods currently practiced in the related circles are categorized into traditional Korean diagnosis methods and holistic auxiliary diagnosis methods. The traditional Korean diagnosis method focuses on treating diseases of traditional Korean health management methods which are based on the bodily self-viability capabilities according to the Orient's viewpoint of health. Under the diagnosis method, based on the cognition of maximizing the state of the bodily self-viability capabilities together with the characteristics of diseases, symptoms, pulse, first face-to-face patient observation, physical constitution, and life principle are managed according to form, color, pulse and symptom which divide the bodily viability capacities into inherent and acquired elements amid both elements interacting.

Differences in Health Promoting Lifestyle Behavior of Health Management Students Based Upon Early Diagnosis Coverage in a Cancer Course

  • Ozveren, Husna;Cerit, Birgul;Ertop, Nesime Guzel
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.10
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    • pp.5769-5773
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    • 2013
  • Background: This is a descriptive study to determine whether coursework that is focused on early diagnosis in cancer makes a difference in self-reported health promoting lifestyle behavior of students who study health management. Materials and Methods: The population of the study consisted of a sample of 104 students enrolled in the Department of Health Management at the Faculty of Health in Kirikkale University in Turkey. Forty-eight students enrolled in a course called "Early Diagnosis of Cancer" and fifty-six did not take this course. Demographic information was collected and the "Health Promotion Life-Style Profile (HPLP)" was used to collect health promotion data. Frequency and descriptive statistics including one-way ANOVA, Mann-Whitney U test, Kruskal Wallis tests were used to evaluate data. Results: The HPLP mean score of the students was found to be $127.5{\pm}17.45$. The highest mean score was observed for self-fulfillment and health responsibility, while the lowest was for diet and exercise sub-scales. It was found that certain variables were effective in developing health promoting lifestyle behaviors such as choosing this job voluntarily, working status of father and participation in social activity (p<0.05). In conclusion, it was found that the students had moderate levels of health promoting lifestyle behavior and they should be supported in terms of diet and exercise.

The effect of self-regulation ability on fear of dental treatment among male high school students (남자 고등학생의 자기조절능력이 치과 치료공포감에 미치는 영향)

  • Kim, Young-Sun;Lee, Jung-Hwa
    • Journal of Korean Dental Hygiene Science
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    • v.4 no.2
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    • pp.89-98
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    • 2021
  • Background: To analyze the effect of self-regulation on the fear of dental treatment in order to use it as basic data for efficient oral health care among male adolescents. Methods: A survey was administered to 241 first graders of specialized high schools in Daegu using a self-entry method. Twenty questions about fear of dental treatment and fifteen questions about self-regulation were included. The higher the score, the higher the fear of dental treatment and the self-regulation ability, showing a high reliability of 0.972 and 0.750, respectively. Results: The mean score of the participants' self-regulation ability was 3.25±0.51 and that of the degree of fear for dental treatment was relatively low at 1.72±0.85. It was confirmed that the higher the academic performance (F=7.635, p<0.01), the better was the self-regulation based on self-diagnosis (F=3.142, p<0.05), and was associated with higher health awareness (F=5.894, p<0.01). The degree of fear for dental treatment was significantly higher in the self-diagnosis-induced poor health group (F=4.933, p<0.01) and associated with a lower awareness of health (F=3.093, p<0.05). The participants' self-regulation ability was significantly negatively correlated with the degree of fear regarding dental treatment (r=-0.269, p<0.01). Regression analysis was performed using the degree of fear as a dependent variable and including sub-area variables of self-diagnosis-based health status, perception of health, and self-regulation ability as independent variables (β=-0.163, p<0.05). Among the self-regulation abilities, controlled composition (β=-0.232, p<0.01) had a significant effect; the higher the composition, the lower the degree of fear. The total explanatory power of this variable was 8.5%. Conclusion: An appropriate customized education program that can encourage individuals to practice self-care and maintain oral hygiene along with a clear understanding of underlying individual oral health conditions during adolescence is essential for promoting oral health.

Development of a Smoking and Drinking Prevention Program for Adolescents using Intervention Mapping (Intervention Mapping 설계를 통한 중학생 대상 흡연음주예방 교육프로그램 개발)

  • Kye, Su-Yeon;Choi, Seul-Ki;Park, Kee-Ho
    • The Journal of Korean Society for School & Community Health Education
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    • v.12 no.3
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    • pp.1-15
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    • 2011
  • Objectives: We describe the development of a smoking and drinking prevention program for adolescents, using intervention mapping. Methods: The study sample consisted of 1,000 high school second-grade students from 6 high schools in Seoul. The PRECEDE model was applied for the needs assessment. We carried out a social diagnosis by assessing the factors such as the quality of life, happiness level, and satisfaction with school life; an epidemiological diagnosis on the perceived health status, stress levels, and priority of health issues; a behavioral diagnosis on the smoking and drinking rate and the intention to smoke and drink; and an educational diagnosis on knowledge, beliefs, attitudes, self-efficacy, outcome expectations, social norms and life skills. Results: The development process included a needs assessment, identifying factors that influence smoking and drinking among adolescents. Intention, knowledge, perceived norms, perceived benefit, perceived cost, perceived susceptibility, self-efficacy, and life skills were identified as determinants. Three performance objectives were formulated to describe what an individual needs to do in order to avoid smoking and drinking. Subsequently, we constructed an intervention matrix by crossing the performance objectives with the selected determinants. Each cell describes the learning objectives of the smoking and drinking prevention program. The program used methods from the transtheoretical model, such as consciousness raising, outcome expectations, self-reevaluation, self-liberation, counterconditioning, environmental reevaluation, and stimulus control. The program deals with the effects of smoking and drinking, self-improvement, decision making, understanding advertisements, communication skills, social relationships, and assertiveness. Conclusions: By using the process of intervention mapping, the program developer was able to ensure a systematical incorporation of empirical and new data and theories to guide the intervention design. Programs targeting other health-related behavior and other methods or strategies can also be developed using this intervention mapping process.

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The Study for a Model Development of School Health Diagnosis (학교건강진단모형 개발을 위한 연구)

  • Im Mee Young
    • Journal of Korean Public Health Nursing
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    • v.11 no.2
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    • pp.131-140
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    • 1997
  • School health aims to guide and manage growing students in order to grow healthily through the formation of healthy life habits, the self-control health management guide and the making of pleasant school health environments. The purpose of this study is to clarify the concepts, to draw common features, and develop a new approach for school health diagnosis through literature review. School health diagnosis is defined as the identification of actual and potential health problems in school health problems in population. It is a label that both describes a situation and implies an ethiology. Although it is widely acknowledeged that school health diagnosis is an essential precursor to school health nursing intervention, it still has ambiguous definition, unmeasurable goal. and a tenuous structure. In addition, the eclipse of school health diagnosis theory in the literature is so complete that some texts even exclude diagnosis as a stage of the nursing theory has not developed sufficiently to guide school nurses in the application of the nursing diagnosis with in the school. The Neuman's systems model provided the conceptual framework for this study and offered school health nursing the sort of clear structure that will assist them to clarify their work to nursing colleges and also to the client group with whom they will work. The Neuman model is fully congruent with today's health care philosophy by taking a wellness-orientaed approach, involving clients III their health care with prevention as intervention.

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Self-Disclosure of Breast Cancer Diagnosis by Iranian Women to Friends and Colleagues

  • Najmabadi, Khadijeh Mirzaii;Azarkish, Fatemeh;Latifnejadroudsari, Robab;Shandiz, Fatemeh Homaei;Aledavood, Seyed Amir;Kermani, Ali Taghizadeh;Esmaily, Habib Ollah
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.6
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    • pp.2879-2882
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    • 2014
  • Background: Breast cancer (BC) is the most common form of cancer in Iranian women, and it remains a major health problem. An increasing number of young women are being diagnosed with BC, and therefore, there is an increasing likelihood that more women will survive breast cancer for many years. Many opine that self-disclosure of BC diagnosis is important because talking about cancer helps people to make sense of their experiences; in fact, self-disclosure appears to play an important role in many health outcomes. However, this has not yet been studied in BC patients in Iran. Therefore, this study aimed to explore the status of self-disclosure of BC diagnosis by Iranian women to friends and colleagues. Materials and Methods: All BC records for 2001-2011 of employed women were studied at five hospitals in Mashhad. Data about the self-disclosure of BC diagnosis were gathered through telephone interviews, and the participants filled out a questionnaire about their status of self-disclosure of BC diagnosis to various groups of people. Results: The mean age of employed women at the time of diagnosis was $44.3{\pm}6.7$ years. Over 60% self-disclosed to work colleagues and over 90% to bosses/managers. Seventy per cent reported that they had support from their family and husband's family, while 95% reported that they had support from parents, siblings, children and friends. Conclusions: Most employed women self-disclosed freely to family, friends, colleagues and bosses/managers. Apparently, self-disclosure of breast cancer diagnosis may have negative effects at work. About half of patients reported that they had support from family, managers and colleagues; however, for nearly 28% of employed women, disclosure had less positive effects. In particular, it altered their perception of others, produced difficulties with work and family and diminished closeness with the people who were told. However, the stigma of BC is far less than it once was.

Self Disease Diagnosis System Using Enhanced ART2 Algorithm (개선된 ART2 알고리즘을 이용한 자가 질병 진단 시스템)

  • Kim, Kwang-Baek;Woo, Young-Woon;Kim, Ju-Sung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.11
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    • pp.2150-2157
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    • 2007
  • In this paper, we have proposed a self disease diagnosis system for ordinary persons to help the decision of access methods to a specialized medical management, and for medical specialities to discover new diseases and their symptoms easily, using verification of an individual#s health status by a series of processes performed by oneself. In the proposed self disease diagnosis system, illness is decided by 60 kinds of diseases selected using the report called #Diseases that Koreans take seriously# published by Ministry of Health & Welfare and medical contents called #Engel Pharm#, and also using 161 representative symptoms for the 60 kinds of diseases. An individual#s health information is extracted by diagnosis of one#s health status by a clustering of the 60 kinds of diseases using enhanced ART2 algorithm and input vectors from the results of questions for symptoms of each disease.