• Title/Summary/Keyword: early detection

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Factors Affecting Early Detection Behaviors of Breast Cancer (외래내원여성의 유방암 조기검진행위에 영향을 미치는 요인)

  • Kim, Young-Im;Yang, Soo-Hyung;Jung, Hye-Sun;Lee, Chang-Hyun
    • Research in Community and Public Health Nursing
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    • v.15 no.1
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    • pp.155-164
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    • 2004
  • Purpose: The purpose of this study was to identify factors affecting early detection behaviors of breast cancer such as breast self examination(BSE), breast physical examination, mammography. Method: The subjects were 141 women on an island and materials were collected through an organized questionnaire from March, to August 2002. The data were analyzed by using descriptive statistics, $x^2$ and logistic analysis by SAS program. Results: 52.7% of the subjects performed breast self examination, 67.2% did breast physical examination and 67.7% did mammography. That is, about 60% of the subjects performed early detection behavior to find the breast cancer. Practice of breast self examination was significantly correlated with experience of physician examination and mammography. The most significant factor on BSE was a normal salted diet, and the most significant factor on physical examination and mammography was the high education level of subjects. Conclusions: According to the results of this study, it suggests that intensive education and information strategies for breast cancer early detection need to be developed. In particular, early detection programs for lower educated women should be activated.

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Relationships between Knowledge about Early Detection, Cancer Risk Perception and Cancer Screening Tests in the General Public Aged 40 and Over (암 조기발견 지식.암발생 위험성 지각과 암 조기검진 수검 여부와의 관계: 40세 이상 일반인 대상으로)

  • Yang, Young-Hee
    • Asian Oncology Nursing
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    • v.12 no.1
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    • pp.52-60
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    • 2012
  • Purpose: This study is to determine knowledge about early detection and risk perception of cancer according to taking cancer screening tests in the general population. Methods: The participants were 151 people aged 40 years or older. A questionnaire consisted of knowledge about early detection (warning signs, cancer screening methods, general knowledge for early detection), cancer risk perception and history of cancer screening during past 2 years. Results: The percentages of correct answers were 64.7% in knowledge about warning signs, 73.7% in knowledge of cancer screening tests and 80.1% in general knowledge for early detection. Participants had the highest knowledge about screening methods for stomach cancer and the lowest for liver and colon cancer. The level of risk perception was medium. The participants who participated in cancer screening showed lower risk perception than those who did not. There was no significant relationship between knowledge and performance of cancer screening. The primary reason for not participating in cancer screening was patient's perception of their own health. Conclusion: These results suggest that cancer risk perception can affect the performance of cancer screening and we need to study how to handle this problem. Additionally screening programs should focus on liver cancer and colon cancer.

Dentists' Perception of the Role they Play in Early Detection of Oral Cancer

  • Saleh, Amyza;Kong, Yink Heay;Vengu, Nedunchelian;Badrudeen, Haja;Zain, Rosnah Binti;Cheong, Sok Ching
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.1
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    • pp.229-237
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    • 2014
  • Background: Dentists are typically the first professionals who are approached to treat ailments within the oral cavity. Therefore they should be well-equipped in detecting suspicious lesions during routine clinical practice. This study determined the levels of knowledge on early signs and risk factors associated with oral cancer and identified which factors influenced dentist participation in prevention and early detection of oral cancer. Materials and Methods: A survey on dentists' knowledge and their practices in prevention and early detection of oral cancer was conducted using a 26-item self-administered questionnaire. Results and Conclusions: A response rate of 41.7% was achieved. The level of knowledge on early signs and risk habits associated with oral cancer was high and the majority reported to have conducted opportunistic screening and advised patients on risk habit cessation. Factors that influenced the dentist in practising prevention and early detection of oral cancer were continuous education on oral cancer, age, nature of practice and recent graduation. Notably, dentists were receptive to further training in the area of oral cancer detection and cessation of risk habits. Taken together, the study demonstrated that the dental clinic is a good avenue to conduct programs on opportunistic screening, and continuous education in these areas is necessary to adequately equip dentists in running these programs. Further, this study also highlighted knowledge deficits and practice shortcomings which will help in planning and developing programs that further encourage better participation of dentists in prevention and early detection of oral cancer.

DSP Embedded Early Fire Detection Method Using IR Thermal Video

  • Kim, Won-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3475-3489
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    • 2014
  • Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

Development of WSN(Wireless Sensor Network)-based Fire Monitoring Application System using Fire Detection Algorithm for Early Warning (조기 경보를 위한 화재 판단 알고리즘을 이용한 무선 센서네트워크 기반 화재 감시 응용 시스템 설계 및 구현)

  • Kim, Ah-Reum;Jo, Kyoung-Jin;Chang, Jae-Woo;Sim, Chun-Bo
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.504-514
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    • 2009
  • Recently, fire monitoring application systems have been an active research area due to the safety of industries, historical monuments and so on. The fire monitoring application systems can reduce the damage of properties by providing earlier warning for possible fire situation. However, the existing systems have a drawback that they detect fire with delay due to their uniform epoch in fire detection algorithm. Moreover, they do not provide user-friendly graphical user interfaces in their fire monitoring systems. To resolve the problems, First, we propose a new fire detection algorithm (Early Fire Detection Fire Algorithm) which uses the distribution of sensing data for early fire detection. Our fire detection algorithm is better in terms of fire detection time than the existing work because it can set a start time of fire detection epoch dynamically based on data distribution. Second, we develop a fire monitoring application system which provides users with both a user-friendly graphical user interface and a fire alarm message when fire occurs. Finally, we show from our experiment that our developed system is effectively used for early fire warning in a variety of fire situations.

Health Economics Evaluation of a Gastric Cancer Early Detection and Treatment Program in China

  • Li, Dan;Yuan, Yuan;Sun, Li-Ping;Fang, Xue;Zhou, Bao-Sen
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.13
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    • pp.5133-5136
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    • 2014
  • Objective: To use health economics methodology to assess the screening program on gastric cancer in Zhuanghe, China, so as to provide the basis for health decision on expanding the program of early detection and treatment. Materials and Methods: The expense of an early detection and treatment program for gastric cancer in patients found by screening, and also costs of traditional treatment in a hospital of Zhuanghe were assessed. Three major techniques of medical economics, namely cost-effective analysis (CEA), cost-benefit analysis (CBA) and cost-utility analysis (CUA), were used to assess the screening program. Results: Results from CEA showed that investing every 25, 235 Yuan on screening program in Zhuanghe area, one gastric cancer patient could be saved. Data from CUA showed that it was cost 1, 370 Yuan per QALY saved. Results from CBA showed that: the total cost was 1,945,206 Yuan with a benefit as 8,669,709 Yuan and an CBR of 4.46. Conclusions: The early detection and treatment program of gastric cancer appears economic and society-beneficial. We suggest that it should be carry out in more high risk areas for gastric cancer.

BioMEMS-EARLY DISEASE DETECTION (BioMEMS 기반의 조기 질병 진단 기술에 관한 연구)

  • Singh, Kanika;Kim, Kyung-Chun
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.2781-2784
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    • 2007
  • Early detection of a disease is important to tackle treatment issues in a better manner. Several diagnostic techniques are in use, these days; for such purpose and tremendous research is going on to develop newer and newer methods. However, more work is required to be done to develop cheap and reliable early detection techniques. Micro-fluidic chips are also playing key role to deliver new devices for better health care. The present study focuses on a review of recent developments in the interrogation of different techniques and present state-of-the-art of microfluidic sensor for better, quick, easy, rapid, early, inexpensive and portable POCT (Point of Care testing device) device for a particular study, in this case, bone disease called osteoporosis. Some simulations of the microchip are also made to enable feasibility of the development of a blood-chip-based system. The proposed device will assist in early detection of diseases in an effective and successful manner.

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A Study on the Early Fire Detection based on Environmental Characteristics inside the Nacelle of Wind Turbine Generator System (풍력발전기 너셀 내부 환경특성을 고려한 화재 조기감지방법 연구)

  • Kim, Da Hee;Lim, Jong Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.9
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    • pp.847-854
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    • 2014
  • The paper presented a method of early fire detection based on the environmental characteristics inside the nacelle of wind turbine generator system(WTGS). The rising rates of the temperature and smoke density were used as the parameters for early fire detection. By considering the characteristics of temperature and smoke density of a nacelle, this method is very reliable and can minimize the possibility of a malfunction of fire detection. The performance of the method was tested through sets of experiments by using nacelle simulator.

Power Quality Early Warning Based on Anomaly Detection

  • Gu, Wei;Bai, Jingjing;Yuan, Xiaodong;Zhang, Shuai;Wang, Yuankai
    • Journal of Electrical Engineering and Technology
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    • v.9 no.4
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    • pp.1171-1181
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    • 2014
  • Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.

The Comparison Between Fault Detection Methods about Early Faults in a Ball Bearing (볼 베어링의 조기 결함 검출 방법들의 비교)

  • Park, Choon-Su;Kim, Yang-Hann
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11b
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    • pp.200-203
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    • 2005
  • Ball bearings not only sustain the system, but permit the rotational component to rotate. Excessive radial or axial load and many other reasons can cause faults to be created and grown rapidly in each component. The grown faults make noise and vibration, which can make the system unstable. Therefore, it is important to detect faults as early as possible. For this reason, there have been many researches on fault detection method of early faults in a ball bearing. The fault defection methods can be categorized to several groups by signal processing methods. Not all the methods are efficient for finding early faults. We select representative methods known as efficient for detecting early faults and compare the results for inspecting which method is effective.

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