• Title/Summary/Keyword: Earlier Detection

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Aortic Stenosis: New Insights in Diagnosis, Treatment, and Prevention

  • Saki Ito;Jae K. Oh
    • Korean Circulation Journal
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    • v.52 no.10
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    • pp.721-736
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    • 2022
  • Aortic stenosis (AS) is one of the most common valvular heart diseases and the number of patients with AS is expected to increase globally as the older population is growing fast. Since the majority of patients are elderly, AS is no longer a simple valvular heart disease of left ventricular outflow obstruction but is accompanied by other cardiac and comorbid conditions. Because of the significant variations of the disease, identifying patients at high risk and even earlier detection of patients with AS before developing symptomatic severe AS is becoming increasingly important. With the proven of efficacy and safety of transcatheter aortic valve replacement (TAVR) in the severe AS population, there is a growing interest in applying TAVR in those with less than severe AS. A medical therapy to reduce or prevent the progression in AS is actively investigated by several randomized control trials. In this review, we will summarize the most recent findings in AS and discuss potential future management strategies of patients with AS.

Recommendation for conducting process of an epidemiological survey in respiratory syncytial virus infection (호흡기세포융합바이러스감염증 역학조사 수행절차 제안)

  • Kim, Dae Soon;Bae, Jong-Myon
    • Journal of Medicine and Life Science
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    • v.17 no.1
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    • pp.29-32
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    • 2020
  • As respiratory syncytial virus(RSV) is transmitted either via directly contact with an infected case or via indirectly contaminated fomites or skin, the major preventive measures are strict hand hygiene, early detection of transmitted sources, and rapid isolation of RSV patients. Especially early detection of hidden cases is the most critical control measure when an index case was notified in a postpartum center. The Guideline of Korea Centers for Diseases Control and Prevention defines potential contacts in an epidemiologic survey as admitted newborns, parents of index cases, center's workers, and visitors for 10 days before the first diagnosis day of index case. However, it needs to classify potential contacts in more detail in order to conduct a successful survey. Authors conducted to search related literatures and appraise the evidences. Firstly, potential contacts would be classified into RSV-related symptomatic contacts(SxC) and asymptomatic contacts. And then, mother, caring workers, and visitors of the index cases among asymptomatic contacts would be defined as the asymptomatic close contacts(ASCC). Finally, the rest would be defined as the asymptomatic regular contacts(ASRC). The defined test using reverse transcription-PCR is applied to SxC and ASCC, and decision of isolation or regular activities are made according to the results. The rapid antigen detection test kits are applied to ASRC. These suggestions might be helpful to detect hidden cases earlier and prevent a further infection.

스마트폰 카메라 및 보안 스티커 검출 방법

  • Kim, Chang-dae;Choi, Seo-hyuk;Ryu, Sung-pil;Kim, Dong-woo;Ahn, Jae-hyeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.823-826
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    • 2016
  • This paper proposes a method for detecting automatically a smartphone camera in order to put a security stickers and detecting security sickers to recognize whether the removable security sticker or not. The method reduce the time that a person put a security stickers and check the stickers whether the removable stickers at rush hour. It is significantly low to detect rate if the image quality is poor low by LED light flickering phenomenon at the time of the camera detection of the smartphone. Therefor, in this paper, it implement the method that detecting camera to inspect frequently degree after applying the adaptive threshold. Further, in order to recognize whether the removable security sticker or not implement the sticker region detection method using a color filter. The proposed method could increase detecting ratio than earlier methods with LED light flickering phenomenon. In addition, it was also high security sticker detection ratio.

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Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid

  • Prasanna Srinivasan, V;Balasubadra, K;Saravanan, K;Arjun, V.S;Malarkodi, S
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2168-2187
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    • 2021
  • The smart grid replaces the traditional power structure with information inventiveness that contributes to a new physical structure. In such a field, malicious information injection can potentially lead to extreme results. Incorrect, FDI attacks will never be identified by typical residual techniques for false data identification. Most of the work on the detection of FDI attacks is based on the linearized power system model DC and does not detect attacks from the AC model. Also, the overwhelming majority of current FDIA recognition approaches focus on FDIA, whilst significant injection location data cannot be achieved. Building on the continuous developments in deep learning, we propose a Deep Learning based Locational Detection technique to continuously recognize the specific areas of FDIA. In the development area solver gap happiness is a False Data Detector (FDD) that incorporates a Convolutional Neural Network (CNN). The FDD is established enough to catch the fake information. As a multi-label classifier, the following CNN is utilized to evaluate the irregularity and cooccurrence dependency of power flow calculations due to the possible attacks. There are no earlier statistical assumptions in the architecture proposed, as they are "model-free." It is also "cost-accommodating" since it does not alter the current FDD framework and it is only several microseconds on a household computer during the identification procedure. We have shown that ANN-MLP, SVM-RBF, and CNN can conduct locational detection under different noise and attack circumstances through broad experience in IEEE 14, 30, 57, and 118 bus systems. Moreover, the multi-name classification method used successfully improves the precision of the present identification.

A BERT-Based Deep Learning Approach for Vulnerability Detection (BERT를 이용한 딥러닝 기반 소스코드 취약점 탐지 방법 연구)

  • Jin, Wenhui;Oh, Heekuck
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.6
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    • pp.1139-1150
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    • 2022
  • With the rapid development of SW Industry, softwares are everywhere in our daily life. The number of vulnerabilities are also increasing with a large amount of newly developed code. Vulnerabilities can be exploited by hackers, resulting the disclosure of privacy and threats to the safety of property and life. In particular, since the large numbers of increasing code, manually analyzed by expert is not enough anymore. Machine learning has shown high performance in object identification or classification task. Vulnerability detection is also suitable for machine learning, as a reuslt, many studies tried to use RNN-based model to detect vulnerability. However, the RNN model is also has limitation that as the code is longer, the earlier can not be learned well. In this paper, we proposed a novel method which applied BERT to detect vulnerability. The accuracy was 97.5%, which increased by 1.5%, and the efficiency also increased by 69% than Vuldeepecker.

Deep Learning-based Parcel Detection and Classification System Development Research. (딥러닝 기반 택배 탐지 및 분류 시스템 개발 연구)

  • Son, Seongho;Choi, Donggyu;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.323-325
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    • 2021
  • The size of the delivery market in Korea is growing year by year. In recent years, the growth rate has skyrocketed due to the aftermath of the coronavirus. Looking at the domestic delivery market's volume trend in 2020, about 3.4 billion boxes increased by 21% compared to about 2.8 billion boxes last year. In addition, sales amounted to 7.5 trillion won, an increase of about 19% compared to 6.3 trillion won a year earlier. As the delivery market grows, the proportion of courier damage relief is also occurring at a considerable rate. About 33% of 1,000 people have experienced delivery accidents, and about 41% of the week have experienced damage or damage. In this paper, a deep learning model capable of detecting a parcel was created to detect a damaged parcel. A system that can check the performance of this model and detect and classify parcels during the delivery process using a real-time detection camera was studied.

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Recurrent Uterine Cervical Carcinoma: Spectrum of Imaging Findings

  • Joon-Il Choi;Seung Hyup Kim;Chang Kyu Seong;Jung Suk Sim;Hak Jong Lee;Kyung-Hyun Do
    • Korean Journal of Radiology
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    • v.1 no.4
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    • pp.198-207
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    • 2000
  • Uterine cervical carcinoma is one of the most common malignant tumors occurring in females. After primary treatment, patients are usually followed up with CT or MRI and the findings of these modalities may be the first sign of recurrent disease. Because earlier additional treatment by chemotherapy or radiation therapy may improve the prognosis, the early detection of recurrent cervical carcinoma is clinically important. In this article, we review the CT and MR imaging findings of recurrent uterine cervical carcinoma, and assign them to one of four groups: a) recurrence at the primary site, involving the intrapelvic organs, b) extension to the pelvic side-wall, c) metastases to pelvic and extrapelvic lymph nodes, or d) metastases to distant organs. A further contribution of CT and MR imaging is the detection of hydronephrosis due to ureteral obstruction. The cases in each group are illustrated and discussed, and since an awareness of the spectrum of imaging findings of recurrent cervical carcinoma is likely to lead to its early detection, radiologists should be familiar with the information presented.

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Clinical Benefits of Narrow Band Imaging Bronchoscopy in Central Lung Cancer (중심성 폐암 발견에 있어 협대역 내시경의 임상적 유용성)

  • Park, Jin-Kyeong;Jo, Young-Sun;Jang, Sae-Jin;Park, Young-Soo;Choi, Chang-Min
    • Tuberculosis and Respiratory Diseases
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    • v.68 no.1
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    • pp.16-21
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    • 2010
  • Background: Lung cancer is usually diagnosed at an advanced stage, resulting in a poor prognosis. The detection of these lesions at an earlier stage would be a clear benefit to patients. However, it is extremely difficult to detect carcinomatous lesions in the bronchial mucosal sites during a routine bronchoscopy. Methods: This study employed a novel optical technique, known as narrowband imaging (NBI), which allows noninvasive visualization of the microvascular structure of an organ's surface using reflected light. Results: Narrow band imaging was performed on 10 patients who were radiologically suspicious or had a high risk of lung cancer. The median age of the patients was 57.5 years (range, 44~81 years), and 80% of the patients were male. All lesions showed a microvascular proliferation pattern (dotted, tortuous and abruptly ending vessel) on the magnified NBI. Two lesions were confirmed histologically to be adenocarcinoma and the remaining lesions were squamous cell carcinomas. Two lesions were confirmed histologically to be a carcinoma in situ. Conclusion: NBI is a promising and potentially powerful tool for identifying carcinomas at an earlier stage or a central lesion during a routine bronchoscopy examination.

Cystic Fibrosis: Clinical Phenotypes in Children and Adolescents

  • dos Santos, Ana Luiza Melo;de Melo Santos, Helen;Nogueira, Marina Bettiol;Tavora, Hugo Tadashi Oshiro;da Cunha, Maria de Lourdes Jaborandy Paim;de Melo Seixas, Renata Belem Pessoa;Monte, Luciana de Freitas Velloso;de Carvalho, Elisa
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.21 no.4
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    • pp.306-314
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    • 2018
  • Purpose: The objective of this study was to describe the clinical phenotypes of children and adolescents with cystic fibrosis (CF); and to assess the role of pancreatic insufficiency and neonatal screening in diagnosis. Methods: A cross-sectional study was conducted, which included 77 patients attending a reference center of CF between 2014 and 2016. Epidemiological data, anthropometric measurements, and the presence of pulmonary, pancreatic, gastrointestinal and hepatobiliary manifestations were evaluated based on clinical data and complementary examinations. Results: Of the 77 patients, 51.9% were male, with a median age of 147 months (7.0-297.0 months), and the majority showed adequate nutritional status. The most common phenotype was pulmonary (92.2%), followed by pancreatic (87.0%), with pancreatic insufficiency in most cases. Gastrointestinal manifestation occurred in 46.8%, with constipation being the more common factor. Hepatobiliary disease occurred in 62.3% of patients. The group with pancreatic insufficiency was diagnosed earlier (5.0 months) when compared to the group with sufficiency (84.0 months) (p=0.01). The age of diagnosis was reduced following implementation of neonatal screening protocols for CF (6.0 months before vs. 3.0 months after, p=0.02). Conclusion: The pulmonary phenotype was the most common, although extrapulmonary manifestations were frequent and clinically relevant, and should mandate early detection and treatment. Neonatal screening for CF led to earlier diagnosis in patients with pancreatic failure, and therefore, should be adopted universally.

A Case of Childhood Malignant Hyperthermia Complicated by Rhabdomyolysis (소아 악성 고열증과 동반되어 발생한 횡문근융해증 1례)

  • Lee Bum-Hee;Lee Jin-Sook;Cho Hee-Yeon;Kang Ju-Hyung;Kang Hee-Gyung;Cheong Hae-Il;Choi Yong;Ha Il-Soo
    • Childhood Kidney Diseases
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    • v.7 no.2
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    • pp.229-233
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    • 2003
  • Mortality and morbidity of malignant hyperthermia has decreased markedly by the avoidance of succinylcholine, and the earlier detection and introduction of dantrolene. We report a fourteen-year-old boy who developed malignant hyperthermia during general anesthesia. He showed the earlier clinical signs, such as elevation of end-tidal $CO_2$, tachycardia, and hypertension. After prompt administration of dantrolene, operation was continued with profopol and midazolam. Rhabdomyolysis and myoglobinuria followed, and were managed by hydration and alkalinization of urine. Azotemia did not occur, and he was discharged without any sequelae on the $10^{th}$ postoperative day.

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