• 제목/요약/키워드: Warning Signs

검색결과 101건 처리시간 0.025초

Sociodemographic Predictors of Recall and Recognition of Colorectal Cancer Symptoms and Anticipated Delay in Help-Seeking in a Multiethnic Asian Population

  • Loh, Kwong Weng;Majid, Hazreen Abdul;Dahlui, Maznah;Roslani, April Camilla;Su, Tin Tin
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권6호
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    • pp.3799-3804
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    • 2013
  • Background: Colorectal cancer is the second most common cancer in Malaysia. The prognosis of the disease is excellent if detected at an early stage, but the majority of Malaysian patients present at late stages. We aimed to assess the awareness of cancer warning signs and anticipated delay in help-seeking as possible contributors to this phenomenon. Materials and Methods: A population-based cross-sectional survey using the Colorectal Cancer Awareness Measure was initiated in Perak, Malaysia. A total of 2,379 respondents aged 18 years and above were recruited using a multi-stage sampling in five locations. Analysis of covariance was used to examine independent sociodemographic predictors of scores for symptom awareness. Results: Younger age, being female, a higher education, and higher income were significantly associated with better scores for both recall and recognition of warning symptoms. Among the ethnic groups, Malays had better recognition of symptoms whereas Chinese recalled the most symptoms. Passing bloody stool was associated with the least anticipated delay and unexplained anal pain had the highest anticipated delay. Conclusions: The level of awareness across all ethnicities in Malaysia is generally low, especially among minorities. Targeted public education, which is culturally and linguistically appropriate, should be developed to encourage early help-seeking and improve clinical outcomes.

토사비탈면 표층붕괴 위험 예측을 위한 체적함수비 증가 특성 연구 (Characterization of Increases in Volumetric Water Content in Soil Slopes to Predict the Risk of Shallow Failure)

  • 석재욱;강효섭;최선규;정향선;송효성
    • 지질공학
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    • 제30권4호
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    • pp.485-496
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    • 2020
  • 이 연구에서는 집중호우로 인해 발생하는 토사비탈면의 표층붕괴 징후를 파악하기 위해 체적함수비의 변화특성을 분석하였다. 붕괴가 발생한 조건과 발생하지 않은 조건에서의 체적함수비 변화특성을 파악하기 위해 실내토조실험과 테스트베드에서 확보한 체적함수비 계측자료를 비교하였다. 본 연구에서 확보한 282개의 체적함수비 계측자료를 분석한 결과, 붕괴가 발생한 경우의 체적함수비 증가기울기는 0.072~0.309 범위에 분포하고 붕괴가 발생하지 않은 테스트베드의 경우에는 0.01~0.32의 값을 가져 특정값을 기준으로 붕괴 유무가 구분되지는 않았다. 그러나 체적함수비 증가기울기 값이 높아질수록 붕괴가 발생하는 경향이 뚜렷하게 나타났으며 이를 이용하여 4단계의 경보기준을 제시하였다.

환자의 활력 징후를 이용한 후향적 데이터의 분석과 연구를 위한 데이터 가공 및 시각화 방법 (Data Processing and Visualization Method for Retrospective Data Analysis and Research Using Patient Vital Signs)

  • 김수민;윤지영
    • 대한의용생체공학회:의공학회지
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    • 제42권4호
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    • pp.175-185
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    • 2021
  • Purpose: Vital sign are used to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. Researchers are using vital sign data and AI(artificial intelligence) to manage a variety of diseases and predict mortality. In order to analyze vital sign data using AI, it is important to select and extract vital sign data suitable for research purposes. Methods: We developed a method to visualize vital sign and early warning scores by processing retrospective vital sign data collected from EMR(electronic medical records) and patient monitoring devices. The vital sign data used for development were obtained using the open EMR big data MIMIC-III and the wearable patient monitoring device(CareTaker). Data processing and visualization were developed using Python. We used the development results with machine learning to process the prediction of mortality in ICU patients. Results: We calculated NEWS(National Early Warning Score) to understand the patient's condition. Vital sign data with different measurement times and frequencies were sampled at equal time intervals, and missing data were interpolated to reconstruct data. The normal and abnormal states of vital sign were visualized as color-coded graphs. Mortality prediction result with processed data and machine learning was AUC of 0.892. Conclusion: This visualization method will help researchers to easily understand a patient's vital sign status over time and extract the necessary data.

임업인의 신체 이상 징후 실시간 감지 및 재해 조기경보 사물인터넷 구축에 관한 연구 (A Study on Real-Time Detection of Physical Abnormalities of Forestry Worker and Establishment of Disaster Early Warning IOT)

  • 박인규;함운철
    • 융합정보논문지
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    • 제11권5호
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    • pp.1-8
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    • 2021
  • 본 논문에서는 임업인의 신체 이상 징후를 실시간 모니터링하여 응급 조치를 수행함과 동시에 인근의 산불이나 산사태와 같은 자연재해 또는 열사병에 대한 알람을 제공하는 IOT 구축을 제안한다. 임업인에게 제공되는 노드에 6축 센서, 온도 센서, GPS, LoRa를 포함하도록 하고, LoRa 통신을 이용하여 측정된 데이터를 게이트웨이를 통해 네트워크 서버에 송신한다. 네트워크 서버는 6축 센서 데이터로 임업인의 신체 이상 징후 여부를 판단한 후 GPS 위치를 추적하여 응급 조치를 수행한다. 온도 데이터를 분석한 후 열사병 가능성이 있는 경우 또는 인근에서 산불 및 산사태가 발생했을 경우에 알람을 제공한다. 본 논문에서는 노드 및 게이트웨이를 제작하고, 네트워크 서버를 구축하여 얻은 데이터를 분석하여 임업인의 신체 이상 징후 실시간 감지 및 재해조기경보 IOT 구축이 가능함을 확인하였다.

이미지 프로세싱을 활용한 개구부 추락 사고예방에 관한 연구 (A Study on Prevention of Construction Opening Fall Accidents Introducing Image Processing)

  • 홍성문;김병춘;권태환;김주형;김재준
    • 한국BIM학회 논문집
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    • 제6권2호
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    • pp.39-46
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    • 2016
  • While institutional matters such as improvement on Basic Guidelines for Construction Safety are greatly concerned to reduce falling accidents at construction sites, there are short of studies on how to practically predict accident signs at construction sites and to preemptively prevent them. As one of existing accident prevention methods, it was attempted to build the early warning system based on standardized accident scenarios to control the situations. However, the investment cost was too high depending on the site situation, and it did not help construction workers directly since it was developed to mainly provide support operational work support to safety managers. In the long run, it would be possible to develop the augmented reality based accident prevention method from the worker perspective by extracting product information from BIM, visually rendering it along with site installation materials term and comparing it with the site situation. However, to make this method effective, the BIM model should be implemented first and the technology that can promptly process site situations should be introduced. Accordingly, it is necessary to identify risk signs through lightweight image processing to promptly respond only with currently available resources. In this study, it was intended to propose the system concept that identified potential risk factors of falling accidents by histogram equalization, which was known as the fastest image processing method presently, used visual words, which could enhance model classification by wording image records, to determine the risk factors and notified them to the work manager.

국립공원 시설모니터링 변화추이 분석 (Trend Analysis on Facility Monitoring of Korea National Parks)

  • 이주희;배민기;심규원
    • 한국산림과학회지
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    • 제99권4호
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    • pp.487-500
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    • 2010
  • 본 연구의 목적은 3회에 걸쳐 국립공원 시설 모니터링 결과에 대한 변화 추이를 분석하여 국립공원 시설 관리정책 방향을 제시하는 것이였다. 분석결과, 산악형 국립공원은 대부분의 시설에서 중요도와 성취도 평가값 모두가 지속적으로 증가하는 추세를 나타내고 있었다. 연도별 중요도-성취도 분석결과 추이를 볼 때, 우선시정이 필요한 시설물은 주차장의 위치와 수용능력, 화장실의 수로 나타났다. 해상해안형 국립공원의 야영장, 해안 시설의 성취도가 지속적으로 증가한 것으로 나타났다. 연도별 중요도-성취도 분석결과 추이를 볼 때, 우선시정이 필요한 시설물은 화장실의 위치, 수, 청결도, 탐방로의 안전성과 노면상태, 난간 및 주의 안내판 설치, 안내정보 제공, 음수대 및 샤워장 관리상태로 나타났다. 본 연구결과는 각 국립공원별로 공원시설과 관련된 탐방객의 요구사항 및 경향을 지속적으로 파악하여 공원시설 설치 및 유지관리를 통한 탐방만족도 증진과 국립공원의 시설업무 정책방향을 설정하는데 도움을 줄 수 있을 것이다.

The Effect of RGEC and EPS on Stock Prices: Evidence from Commercial Banks in Indonesia

  • SHOLICHAH, Mu'minatus;JIHADI, M.;WIDAGDO, Bambang;MARDIANI, Novita;NURJANNAH, Dewi;AULIA, Yoosita
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.67-74
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    • 2021
  • This study aims to examine and analyze the effect of Risk Profile, Good Corporate Governance (GCG), Earnings, Capital (RGEC), and Earnings per Share (EPS) on stock prices with financial distress as an intervening variable. The sampling technique used purposive sampling based on certain criteria and data used was secondary data, that is, annual reports of commercial banks in Indonesia for the period of 2012-2018 with a sample of 23 banks from a total population of 81 banks. This type of research is explanative with a quantitative descriptive approach to describe or explain quantitative data. The data obtained was analyzed using SEM (Structural Equation Model) with the AMOS Program. The results showed that RGEC, EPS, and financial distress affect stock prices. This is based on testing the direct effect as indicated by a p-value that is smaller than 0.05. Based on the mediation test, the results show that financial distress cannot mediate the effect of RGEC and EPS on stock prices as indicated by a p-value greater than 0.05. The implication of this research is very important for investors to analyze stock price changes based on RGEC, EPS, and financial distress to gain profits. In addition, there are various warning signs indicating that a company is experiencing financial distress or it is heading towards such a state. Being aware of these signs can help prevent failure.

Comparison of Frequency and Stay Time between Normal and Abnormal Elimination Behavior of Cats Using a Litter Box with Automatic Sensor

  • Ji-Woo Shin;Sun-Woo Han;Soon-Hak Kweon;Myungseok Kang;Jong-Hyuk Kim;Chung-Gwang Choi;Joon-Seok Chae
    • 한국임상수의학회지
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    • 제41권2호
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    • pp.71-78
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    • 2024
  • Changes in elimination behavior, including urination and defecation, are common clinical signs of numerous disorders in cats. Therefore, this study attempted to automatically measure the elimination behavior of cats using the litter box and develop an early warning system for the guardian in case of abnormalities. To construct an early warning system for abnormal changes through cat elimination behavior, it consisted of a litter box, an automatic sensor for data collection and data wifi transmission, a server for data analysis, and a mobile phone app for result transmission and early warning. To establish the reference interval (RI), the elimination behavior was monitored for more than 2 weeks using a motion sensor within a litter box in 37 healthy cats and 19 diseased cats. The data were expressed as daily total visits, daily total stay duration, average stay duration per elimination, weekly total visits, and weekly total stay duration. Healthy cats showed median daily total visits of 3 times/day (RI 1.0-7.0) and daily total stay duration of 192 s/day (RI 8.0-452.0). For weekly data, the median total visits were 20 times/week (RI 3.0-35.25) and the median total stay duration was 1,147 s/week (RI 80.0-2,249.5). The average stay duration per elimination was 59 s/elimination (RI 4.67-132.0). Diseased cats showed more frequent elimination behavior than healthy cats (p < 0.001). Otherwise, for each elimination, diseased cats had shorter stay durations than healthy cats (p < 0.001). This study established the RIs of elimination behavior parameters (frequency and duration) in healthy cats. The present study might help guardians and veterinarians detect changes in elimination behaviors in diseased cats at an early stage.

Classification of Adolescent Suicide Based on Student Suicide Reports

  • Kwon, Hoin;Hong, Hyun Ju;Kweon, Yong-Sil
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제31권4호
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    • pp.169-176
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    • 2020
  • Exploring the risk factors of adolescent suicide is important for effective suicide prevention. This study explored the clustering of adolescent suicides based on six risk factors: mental disorder, broken family, depression, anxiety, previous suicide attempts, and deviant behaviors. Using 173 student suicide reports obtained from the Ministry of Education, we evaluated the associations between suicide and variables related to mental disorders; dysfunctional family life; depression and anxiety; previous suicide attempts; deviant behaviors such as drinking and smoking; and school life characteristics, including attendance and discipline, problems within the past year, and incidents prior to suicide. In addition, reports of warning signs just before suicide were included in the analysis. The two-stage cluster analysis classified the students into three clusters: the silent type (cluster 1; 48.55%), in which no risk factors were observed; environmental-risk type (cluster 2: 24.28%), which featured a high frequency of broken households, deviant behaviors such as smoking/drinking and running away from home; and depressive type (cluster 3: 27.17%), which featured a high frequency of mental health problems such as depression, anxiety, and suicide attempts. Identifying the sub-types of adolescent suicide may help to inform tailored suicide prevention and intervention strategies in school.

경부종물의 진단 (Evaluation of The Neck Mass)

  • 송계원;윤석근;최병흔
    • Journal of Yeungnam Medical Science
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    • 제3권1호
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    • pp.1-11
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    • 1986
  • As public awareness of the various warning signs of malignancy increases, so does the concern evoked by the self identified finding of mass in the head and neck area. Not all the palpable masses are always significantly abnormal, but any nontender mass especially to the adult is significant enough to warrent further full investigation and follow up, the object of which should be to determine the possibility of malignancy and urgency of treatment. Approach to the diagnosis of the neck mass is so important in that it affects decision regarding further evaluation would lead to the determination of the most efficacious mode of therapy, eventually to the good prognosis. So, it should be emphasized that approach to the diagnosis of neck mass should be planned, systematic and thorough, this begins with the taking careful history following performance of complete examination of the head and neck especially to the nasopharynx, tongue base, pyriform sinus, palatine tonsil and larynx. Then a number of laboratory and radiologic studies are available, following triple endoscopy under general anesthesia and blind biopsy if needed. The most important rule to keep is that any biopsy procedures should be delayed to the last modality of effort to the diagnosis and if it should be done, under the plan of radical neck dissection.

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