Cross-Reactive Immune Responses toward the Common Cold Human Coronaviruses and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): Mini-Review and a Murine StudyReview Published on 2021-07-312022-10-29 Journal: Microorganisms [Category] COVID-19, [키워드] 229E acute respiratory syndrome animal model antibodies antibody Antibody Response Antigen approval Asymptomatic cause caused Cold common common cold common cold human coronaviruses coronavirus coronavirus 2 coronavirus disease COVID-19 cross-reactive cross-reactive antibodies cross-reactive antibody cross-reactive immune response disease disease severity exhibited experiment Experimental result Factor Future HKU1 Human human coronavirus human infection humans immunized individual infected with SARS-CoV-2 magnitude mice morbidity and mortality murine naïve neutralization NL63 nucleocapsid OC43 outcome outcomes pre-existing immunity Regulatory respiratory response responsible SARS-CoV-2 SARS-COV-2 infection SARS-CoV-2 infections serum antibody subsequent subunit suggested T cells the SARS-CoV-2 United Kingdom virus virus infection while [DOI] 10.3390/microorganisms9081643 PMC 바로가기 [Article Type] Review
Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 PatientsCOVID-19 환자의 사망률 예측을 위한 컴퓨터 지능 기반 모델Article Published on 2021-06-142022-09-10 Journal: International Journal of Environmental Research an [Category] MERS, SARS, 치료기술, [키워드] Accuracy Activation Algorithms baseline best Comparative analysis complications confirmed COVID-19 patients country COVID-19 COVID-19 cases COVID-19 outbreak COVID-19 patient decision Decision tree deep deep learning Diagnosis Diseases Early detection effective Experimental result experimental results forest Gradient learning likelihood Logistic regression machine machine learning Model mortality rate predict prediction Random forest Rate reduce reduced Regression severe COVID-19 shown tree was performed [DOI] 10.3390/ijerph18126429 PMC 바로가기 [Article Type] Article
Modeling of aerosol transmission of airborne pathogens in ICU rooms of COVID-19 patients with acute respiratory failureArticle Published on 2021-06-032022-10-29 Journal: Scientific Reports [Category] COVID-19, MERS, [키워드] aerosol approach Computational science Contamination cough COVID-19 pandemic COVID-19 patient cross-contamination decrease Disease prevention Dynamics Effect Experimental result Flow Fluid dynamics help hospital hospitals ICU Imaging techniques infected patient intensive care unit investigated Lattice modeling optical Oxygenation Particle Particles pathogen produced Respiratory failure risk SARS-CoV-2 shown Transmission Treatment Ventilated Ventilation viral infection [DOI] 10.1038/s41598-021-91265-5 PMC 바로가기 [Article Type] Article
CIR-Based Device-Free People Counting via UWB SignalsCommunication Published on 2021-05-102022-10-29 Journal: Sensors (Basel, Switzerland) [Category] Coronavirus, SARS, [키워드] adopted applied Automatic channel impulse response Classifier counting COVID-19 Experimental result feature groups help hygiene include lockdown Masks monitoring systems outbreak people counting Probability reduce reducing RF sensing signal singular value decomposition social distancing Spread surgical UWB virus [DOI] 10.3390/s21093296 PMC 바로가기 [Article Type] Communication
Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19COVID-19의 사회적 감정적 변동성과 유발 원인 인식Article Published on 2021-04-262022-09-10 Journal: International Journal of Environmental Research an [Category] MERS, SARS, 치료기술, 치료제, [키워드] addition adverse impact cause cause detection caused Chinese cognitive coronavirus disease Coronavirus disease 2019 COVID-19 deep learning emotional Experimental result experimental results mechanism media Novel coronavirus novel coronavirus disease outbreak outcomes Physical symptom physical symptoms platform provide Psychological psychological responses public health emergency Research responses social media social-emotional volatility Support triggered virus volatility [DOI] 10.3390/ijerph18094591 PMC 바로가기 [Article Type] Article
Automated detection of COVID-19 from CT scan using convolutional neural networkResearch article Published on 2021-04-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] Accuracy Algorithm approach artificial intelligence automated average baseline binary classification can be used categories CNN conducted Convolutional neural network COVID-19 CT scan CT Scan images CT scans deep detect develop diagnostic capabilities early diagnosis Effectiveness Experimental result global pandemic IMPROVE Isolation learning network Neural normal ResNet50 stratified transfer learning VGG16 [DOI] 10.1016/j.bbe.2021.04.006 [Article Type] Research article
A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT ImagesCT 이미지에서 COVID-19 감염 영역 분할을 위한 Few-Shot U-Net 딥 러닝 모델Article Published on 2021-03-222022-09-12 Journal: Sensors (Basel, Switzerland) [Category] 진단, [키워드] Accuracy Area classifiers COVID-19 CT chest CT images CT scan deep deep learning Effectiveness Efficacy Experimental result experimental results few-shot learning fixed Image introduced Kruskal-Wallis test learning Model network model overcome P -value Radiographic recent regions Segmentation Semantic segmentation Sensitivity and specificity statistical significance supervised learning Traditional traditional methods Volume [DOI] 10.3390/s21062215 PMC 바로가기 [Article Type] Article
MPS-Net: Multi-Point Supervised Network for CT Image Segmentation of COVID-19Computational and artificial intelligence Published on 2021-03-192022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] Accuracy assist auxiliary can be used caused connection Convolution coronary pneumonia COVID-19 COVID-19 infection CT deaths deep demonstrated Diagnosis Experimental result feature global pandemic help Image IMPROVE IOU lesion Lung infection MONITOR MPS-Net network New coronavirus Segmentation sensitivity similarity specificity the epidemic Treatment U-Nnet variety was recorded [DOI] 10.1109/ACCESS.2021.3067047 PMC 바로가기 [Article Type] Computational and artificial intelligence
COVID‐19 disease severity assessment using CNN modelOriginal Research Paper Published on 2021-03-072022-10-30 Journal: Iet Image Processing [Category] COVID-19, [키워드] Accuracy Affect approach automated automatically average Chest clinician CNN contagious COVID‐19 COVID‐19 patient Critical dataset disease disease severity Effectiveness Experimental result implementation intensive care unit knowledge mechanical ventilator Mild moderate Novel coronavirus pandemic Patient produced Prognosis radiologist severity Stage the patient Treatment [DOI] 10.1049/ipr2.12153 PMC 바로가기 [Article Type] Original Research Paper
Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNNResearch article Published on 2021-02-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy automated Automatic chest X-ray CNN Community Convolution coronavirus COVID-19 deep learning diagnosis of COVID-19 Experimental result feature Features help knowledge learning medication network Neural outbreak outcome Pneumonia Region Research respond robust unique viral infection while X-ray [DOI] 10.1016/j.asoc.2020.106744 [Article Type] Research article