• 제목/요약/키워드: Abnormal value

검색결과 608건 처리시간 0.025초

Prostate Biopsy in the Elderly: Histologic Findings and Treatment Necessity

  • Akman, Ramazan Yavuz;Koseoglu, Hikmet;Oguzulgen, Ahmet Ibrahim;Sen, Erhan;Yaycioglu, Ozgur
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권20호
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    • pp.8937-8939
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    • 2014
  • The aim of this study is to determine results of high prostate specific antigen (PSA) or abnormal digital rectal examination driven prostate biopsies performed in our Department in men aged 75 or more and to show the characteristics of pathology results. The hospital records of the patients who had high PSA or abnormal digital rectal examination driven prostate biopsy in two common university based research hospitals have been reviewed retrospectively. Patients aged 75 years or older at the date of biopsy whose records provided pathology results and full medical history were evaluated for the study. A total of 103 patients were evaluated with a mean age of $79.4{\pm}3.4years$. More than half of the patients (55.1%) were in their seventh decade and the rest were in the eighth decade. Median PSA value was 15.0 (range 2.1-4500) ng/ml. In most of the biopsies (67%), PSA levels were lower than 20 ng/ml. In almost half of the patients (48%), digital rectal examination was abnormal. In 68.9% of the patients, there were at least one or more associated co-morbid diseases. Gleason scores were 7 or higher in 73%, and 8 or higher in 37% of the patients with prostate cancer. Four of the 70 (6%) patients had bone metastases. Castrations were applied to most of the patients with prostate adenocarcinoma (%79). High percentage of high grade (Gleason 7 or more) prostate adenocarcinoma in the elderly refutes the perception of prostate cancer in this age group as clinically insignificant. Therefore, it is to be kept in mind that prostate cancer in the elderly an be clinically significant and prostate biopsies are to be performed when necessary.

Research on data augmentation algorithm for time series based on deep learning

  • Shiyu Liu;Hongyan Qiao;Lianhong Yuan;Yuan Yuan;Jun Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권6호
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    • pp.1530-1544
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    • 2023
  • Data monitoring is an important foundation of modern science. In most cases, the monitoring data is time-series data, which has high application value. The deep learning algorithm has a strong nonlinear fitting capability, which enables the recognition of time series by capturing anomalous information in time series. At present, the research of time series recognition based on deep learning is especially important for data monitoring. Deep learning algorithms require a large amount of data for training. However, abnormal sample is a small sample in time series, which means the number of abnormal time series can seriously affect the accuracy of recognition algorithm because of class imbalance. In order to increase the number of abnormal sample, a data augmentation method called GANBATS (GAN-based Bi-LSTM and Attention for Time Series) is proposed. In GANBATS, Bi-LSTM is introduced to extract the timing features and then transfer features to the generator network of GANBATS.GANBATS also modifies the discriminator network by adding an attention mechanism to achieve global attention for time series. At the end of discriminator, GANBATS is adding averagepooling layer, which merges temporal features to boost the operational efficiency. In this paper, four time series datasets and five data augmentation algorithms are used for comparison experiments. The generated data are measured by PRD(Percent Root Mean Square Difference) and DTW(Dynamic Time Warping). The experimental results show that GANBATS reduces up to 26.22 in PRD metric and 9.45 in DTW metric. In addition, this paper uses different algorithms to reconstruct the datasets and compare them by classification accuracy. The classification accuracy is improved by 6.44%-12.96% on four time series datasets.

뇌 영상처리를 위한 백질과 회백질의 추출 및 체적 산출에 관한 연구 (A Study on Segmentation and Volume Calculation of the White Matter and Gray Matter for Brain Image Processing)

  • 김신홍
    • 전자공학회논문지 IE
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    • 제43권4호
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    • pp.21-27
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    • 2006
  • 본 논문은 사람의 뇌에 대한 자기공명영상에서 백질과 회백질을 분리하고 각각의 체적을 산출하기 위한 것이다. 정상인과 비정상인의 대뇌 영상으로부터 백질, 회백질, 뇌척수액을 분리하고, 분리된 조직의 체적을 계산한다. 본 논문에서는 뇌 MR영상에서 체적을 산출하고 백질과 회백질을 산출하기 위한 새로운 방법을 제안한다. 그리고 각 구성 비율에 따라 표현되는 명암 값 분석을 통한 대뇌 자기공명영상으로부터 백질 및 회백질을 추출할 수 있는 판별값을 결정하는 방법을 개발하였다. 각 슬라이스에 추출된 화소의 수를 이용하여 백질 및 회백질의 체적을 구하는 방법을 제안하였다. 그리고 환자의 뇌척수액/대뇌 체적비와 연령을 입력으로 받아 판별식을 통해 판별값을 계산하며, 계산된 판별값을 이용해 기준점과 비교함으로써 정상과 비정상을 진단하였다. 결과적으로 연령이 증가 할수록 백질과 회백질의 체적은 감소하고 뇌척수액의 체적은 증가하고 있는 것을 알 수 있었다.

가중 특징 값을 고려한 러프 집합 기반 비정상 행위 탐지방법의 설계 및 평가 (Design and Evaluation of a Rough Set Based Anomaly Detection Scheme Considering Weighted Feature Values)

  • 배인한;이화주;이경숙
    • 한국멀티미디어학회논문지
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    • 제9권8호
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    • pp.1030-1036
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    • 2006
  • 무선 네트워크의 급속한 확산과 이동 컴퓨팅 응용은 네트워크 보안에 대한 전망을 변화시켰다. 비정상 행위 탐지는 시스템으로 모니터 되는 알 수 없는 행위나 이상한 행위에 대한 패턴 인식 작업이다. 본 논문에서는 셀룰러 이동 망에서 유해한 내부 공격 위장자를 효율적으로 식별할 수 있는 효율적인 러프 집합 기반 비정상 행위 탐지 방법을 제안한다. 제안하는 비정상 행위 탐지 방법에서는 특징 값으로 사용자의 무선 응용 계층의 추적 데이터를 사용한다. 특징 값을 기초로, 이동 사용자의 사용 패턴이 러프 집합에 의해 얻어지고, 그리고 모바일의 비정상 행위는 가중 특징 값을 고려한 러프 소속 함수에 적용하여 효과적으로 탐지될 수 있다. 제안하는 방법의 성능은 모의실험으로 평가하였다. 모의실험 결과, 중요도에 따라 특징 속성에 다른 가중치를 부여하는 방법이 비정상 행위를 더 잘 탐지한다는 것을 확인하였다.

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이상전압에 따른 정수기 PCB의 보호대책 (The Protective Countermeasure of Water Purifier PCB according to Abnormal Voltage)

  • 김동욱;문현욱;이기연;김향곤;최충석
    • 조명전기설비학회논문지
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    • 제21권8호
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    • pp.64-70
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    • 2007
  • 과전압에 의한 절연파괴와 허용전류의 초과에 따른 과열 그리고 장기간 사용에 따른 절연 성능 저하 등에 의해 전기사고는 발생한다. 본 논문은 정수기에서 사용되는 PCB의 전원 제어 시스템 개선에 관한 연구로서 기존의 전원제어 시스템에서는 임펄스 형태의 서지의 경우만 바리스터 소자로 구성된 보호 시스템이 설계되어 있었다. 이러한 기존의 시스템은 임펄스 형태 이외의 과전압이 시스템에 입력되었을 경우 시스템을 보호하지 못했기 때문에 새로운 전원 제어 시스템을 설계하여 과전압으로부터 시스템을 보호하여 전기사고를 미연에 방지하고자 하는데 그 목적이 있다. 본 논문에서 제안한 전원 제어 시스템은 입력전원의 전압을 인지하여 설정된 전압 이상의 전압이 입력되는 경우 SSR(solid state relay)을 통하여 전원을 차단하여 시스템을 보호하도록 설계하였다.

Incidental Finding of Abnormal Cervical Pathology in Hysterectomy Specimens after Normal Preoperative Papanicolaou Smears in Thammasat University Hospital

  • Chundarat, Pong-Anan;Suwannarurk, Komsun;Bhamarapravatana, Kornkarn;Pattaraarchachai, Junya;Thaweekul, Yuthadej;Mairaing, Karicha;Poomtavorn, Yenrudee
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권14호
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    • pp.5811-5814
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    • 2014
  • Background: To investigate abnormal cervical histopathology (ACH) from hysterectomy specimens with normal preoperative Papanicolaou (Pap) smears. Materials and Methods: Medical records from May 2009 to April 2012 were retrospectively reviewed of subjects from whom hysterectomy specimens were taken in Thammasat University Hospital. All had normal preoperative Pap smears. ACH was the primary outcome. A p-value less than 0.05 was considered significant. A total of 483 subjects with an average age of 50.5 years were recruited. Benign cases of enlarged uterus and pelvic mass were present in 94% (430/483). Endometrial and ovarian cancer were found at 6.2 and 4.7%, respectively. In hysterectomy specimens there were 19 (4%) cases of ACH. Silent ACH with benign disease, endometrial and ovarian cancers were 1.2% (5/430), 33.3% (10/30) and 17.4% (4/23), respectively. The negative predictive value (NPV) and false negative rate of Pap smears were 96 and 4%, respectively. ACH in malignant cases were 27.9% (12/43) and 20% (2/10) in adequate (APS) and inadequate (IPS) Pap collection groups, respectively. ACH in benign condition were 0.68% (2/292) and 2.2% (3/138) in APS and IPS, respectively. ACH was more often found in hysterectomy specimens with indication of malignancy than benign conditions with statistical significance. One third of preoperative stage I endometrial cancer cases had cervical involvement. Conclusions: Silent ACH in normal preoperative Pap smear was 4 %. Inadequate Pap smear collection is still the major problem in this study. Reducing inadequate Pap smear collection could reduce the false negative rate.

무선인식 유통정보기술 투자가 장기 주가수익률에 미치는 영향에 관한 연구 (Long Term Impact of Distribution Information Technology Investment on Firm Value)

  • 손삼호
    • 유통과학연구
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    • 제17권3호
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    • pp.69-83
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    • 2019
  • Purpose - This paper investigates the long term impact of RFID investment on firm value in Korea. We wand to find out why the long term performance of some firm's RFID investment is better than others. To understand the dynamics of the long term returns from RFID investment announcements, we divide our events into groups for each of the independent firm characteristic variable such as investment time period, kind of markets, industries, solvency and growth potential. We composed portfolios based on the RFID investment announcement date for each group and evaluate the monthly abnormal excess returns. Research design, data, and methodology - Based on these calendar-time portfolios, we measure the long term returns from 86 RFID investment announcements of 46 firms from 2003 to 2017. We construct the calendar-time portfolio for 3, 6, 9, 12 months of holding periods. Using the weighted least squares method, we regress the raw monthly returns of the portfolios on the Fama-French model and Carhart(1997) model. As a result, we can get the estimated risk adjusted mean monthly abnormal excess return αP for each of the calendar-time portfolio. Results - We found that early adopters, large firms, non-manufacturing firms have very significant excess returns. We also found modestly significant excess returns for financially stable firms and slow growing firms. Put together, top managers of the firms which plan to invest RFID should understand the strategic role of RFID adoption and the generalized business process of distribution information technology investment in Korea. Moreover, the findings of this paper provide useful trading strategies to the managers of large funds who are considering on investing in RFID adopting firms. Conclusions - Put together, the results of this paper give us a new insight into how the RFID and IT technology in general and other characteristic factors' interactions affect the long term performance of firms. Using the unbiased estimates of long term returns of the calendar-time portfolios, this paper extends the understandings on short term impact of RFID adoption of existing studies. This paper also extends the current understandings of firm characteristics that affect the long term performance of RFID adopting firms.

The Value of I-Scan Image-Enhanced Endoscopy in the Diagnosis of Vocal Cord Leukoplakia

  • Lee, Young Chan;Eun, Young-Gyu;Park, Il-Seok
    • 대한후두음성언어의학회지
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    • 제29권2호
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    • pp.98-102
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    • 2018
  • Background and Objectives : Detection of vascular abnormalities in vocal cord (VC) leukoplakia is important for the diagnosis of neoplastic change of the mucosa. The aim of this study was to investigate the value of i-scan in the differential diagnosis of VC leukoplakia based on visualization of abnormal vascular features. Material and Methods : Fifty-two patients with leukoplakia were enrolled in the study. Images of their larynx obtained using conventional white light endoscopy and an i-scan-enhanced endoscopy (Pentax DEFINA EPK-3000 Video Processors, with Pentax VNLJ10) were reviewed. The microvascular features of the lesions and vascular changes were analyzed and the results were compared with the histopathologic diagnosis. Results : Among the 52 leukoplakia patients, 7 (13.5%) patients had squamous hyperplasia, 10 (19.3%) mild dysplasia, 2 (3.8%) moderate dysplasia, 14 (26.9%) severe dysplasia, 4 (7.7%) carcinoma in situ, and 15 (28.8%) invasive squamous cell carcinoma on histopathologic examination. Using i-scan-enhanced endoscopy, abnormal vascular change with neoplastic neoangiogenesis was detected in most cases of malignant VC lesion [severe dysplasia : 9/14 (64.3%), carcinoma in situ: 2/4 (50.0%), and invasive squamous cell carcinoma : 11/15 (73.4%)]. Conclusion : i-scan-enhanced endoscopy is a useful optical technique for the diagnosis of VC leukoplakia. Our results suggest that i-scan may be a promising diagnostic tool in the early detection of laryngeal cancer.

구강 백반증 진단에 있어서 i-scan image-enhanced 내시경의 진단적 유용성 (The diagnostic value of i-scan image-enhanced endoscopy in the diagnosis of oral cavity leukoplakia)

  • 이영찬;은영규;박일석
    • 대한두경부종양학회지
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    • 제34권2호
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    • pp.29-34
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    • 2018
  • Background/Objectives: The aim of this study was to investigate the diagnostic value of i-scan in the differential diagnosis of oral cavity leukoplakia based on visualization of abnormal vascular features. Materials & Methods: Thirty- one patients with oral cavity leukoplakia were enrolled in the study. Images of their oral cavity obtained using conventional white light endoscopy and an i-scan-enhanced endoscopy (Pentax DEFINA EPK-3000 Video Processors, with Pentax VNLJ10) were reviewed. The microvascular features of the lesions and vascular changes were analyzed and the results were compared with the histopathologic diagnosis. Results: Among the 31 oral cavity leukoplakia patients, 8 (25.8%) patients revealed hyperkeratosis, 10 (31.2%) low-grade dysplasia, 5 (16.2%) high-grade dysplasia and 8 (25.8%) invasive squamous cell carcinoma on histopathologic examination. Using i-scan-enhanced endoscopy, we could found abnormal vascular change with neoplastic neoangiogenesis in most high-grade dysplasia or invasive cancer in oral cavity. (high-grade dysplasia: 4/5 [80.0%], and invasive squamous cell carcinoma: 7/8 [87.5%]). Conclusion: i-scan-enhanced endoscopy could be a useful optical technique for the diagnosis of oral cavity leukoplakia. Our results suggest that i-scan may be a promising diagnostic tool in the early detection of suspected oral mucosal lesion.

머신러닝을 활용한 세라믹 정밀여과 파일럿 플랜트의 파울링 조기 경보 방법 (An early fouling alarm method for a ceramic microfiltration pilot plant using machine learning)

  • 탁도현;김동건;전종민;김수한
    • 상하수도학회지
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    • 제37권5호
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    • pp.271-279
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    • 2023
  • Fouling is an inevitable problem in membrane water treatment plant. It can be measured by trans-membrane pressure (TMP) in the constant flux operation, and chemical cleaning is carried out when TMP reaches a critical value. An early fouilng alarm is defined as warning the critical TMP value appearance in advance. The alarming method was developed using one of machine learning algorithms, decision tree, and applied to a ceramic microfiltration (MF) pilot plant. First, the decision tree model that classifies the normal/abnormal state of the filtration cycle of the ceramic MF pilot plant was developed and it was then used to make the early fouling alarm method. The accuracy of the classification model was up to 96.2% and the time for the early warning was when abnormal cycles occurred three times in a row. The early fouling alram can expect reaching a limit TMP in advance (e.g., 15-174 hours). By adopting TMP increasing rate and backwash efficiency as machine learning variables, the model accuracy and the reliability of the early fouling alarm method were increased, respectively.