Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural NetworkResearch article Published on 2021-02-012022-10-05 Journal: Applied Soft Computing [Category] Coronavirus, 치료기술, [키워드] Accuracy approach average binding classification connectivity coronavirus COVID-19 COVID-19 patient Critical deep detect detection efficiency Experimental result feature Feature selection Features Friedman Fuzzy logic graph hybrid identify indicate Infectious disease introduced lowest network Neural outperform Precision provide RANK recall selected shown Space Spread statistically Strategy Test [DOI] 10.1016/j.asoc.2020.106906 [Article Type] Research article
Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional NetworkMedicine Published on 2021-01-212022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] 3D convolutional neural network Accuracy Chest computed tomography Cluster Clusters compose connection Control controls coronavirus disease correlation COVID-19 dataset Deep Learning Method Diagnosis equipment equipment types Experimental result experiments feature Features Final graph Graph convolutional network IMPROVE infected case infected cases initial network parameter Physicians radiologist reduce second sensitivity significantly specificity subject transfer [DOI] 10.3389/fmed.2020.612962 PMC 바로가기 [Article Type] Medicine
Micro-Fabricated RTD Based Sensor for Breathing Analysis and Monitoring호흡 분석 및 모니터링을 위한 미세 제작 RTD 기반 센서Article Published on 2021-01-052022-09-12 Journal: Sensors (Basel, Switzerland) [Category] MERS, 진단, [키워드] Accuracy Analysis breathing breathing frequency bridge circuits Care characterization COVID-19 pandemic Critical determine electrical Experimental result experimental results fabrication frequency measurement Health Health care IMPROVE invasive micro-fabrication monitoring reduce respiratory rate respiratory rates sensor temperature temperature sensors thermal resistance transduced wearable sensors Wheatstone bridge [DOI] 10.3390/s21010318 PMC 바로가기 [Article Type] Article
Predicting human microbe-drug associations via graph convolutional network with conditional random field조건부 랜덤 필드가 있는 그래프 컨볼루션 네트워크를 통한 인간 미생물-약물 연관성 예측Article Published on 2020-12-082022-09-11 Journal: Bioinformatics [Category] MERS, SARS, 신약개발, 치료제, [키워드] aggregate antimicrobial drug approach association associations bioinformatics boost can not case studies case study ciprofloxacin complex interaction computational approach Conditional Random Field CRF Critical dataset drug Drug development Drug discovery drugs Effectiveness Experimental result experimental results experiments feature field heterogeneous heterogeneous network hidden Human identifying information Interaction mechanism microbe microbes moxifloxacin performed Precision random random walk restart risk SARS-CoV-2 Seven similarity [DOI] 10.1093/bioinformatics/btaa598 PMC 바로가기 [Article Type] Article
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifierResearch article Published on 2020-10-012022-10-05 Journal: Knowledge-Based Systems [Category] 치료기술, [키워드] Accuracy Chest Chest CT images classification Classifier complex COVID-19 COVID-19 infection COVID-19 patient detect detection diagnose disease drugs early stage elect Evidence experiment Experimental result Extensive feature Feature selection FS2 infected patient introduced KNN methodology outperform Patient problems quarantine Research selected Selection shown Stage stages Strategy tested the disease Wrapper [DOI] 10.1016/j.knosys.2020.106270 [Article Type] Research article
MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CTComputational and artificial intelligence Published on 2020-09-292022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] 2019 novel coronavirus adopted assist category clinical manifestations confirmed case consolidation Convolution COVID-19 COVID-19 infection CT deaths deep learning Deep Learning Method demonstrated Diagnosis disease Experimental result feature global pandemic Ground-glass opacities help identify Infection interstitial Lung infection MSD segmentation network network outbreak patient reported Segmentation Sensitivity and specificity similarity Stage tomography Treatment was used [DOI] 10.1109/ACCESS.2020.3027738 PMC 바로가기 [Article Type] Computational and artificial intelligence
Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography ImagesArticle Published on 2020-08-152022-10-31 Journal: Cognitive Computation [Category] COVID-19, [키워드] Accuracy Basis caused Classifier clinically Clustering Computed tomography coronavirus disease COVID-19 COVID-19 infection CT scan image dataset decision detect detection diagnose Entropy Experimental result feature forest function fused Fused feature vector fusing global pandemic group high accuracy highest Image Infection infection rate initial KNN classifier lung Novel coronavirus offer principle Radial regions Research SARS-CoV-2 Segmentation Segmentation and detection accuracy severity Support support vector machine the disease threat tree [DOI] 10.1007/s12559-020-09751-3 PMC 바로가기 [Article Type] Article
Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based ApproachResearch Article Published on 2020-08-112022-10-31 Journal: Journal of Healthcare Engineering [Category] Coronavirus, MERS, SARS, [키워드] applicability approach AUROC average Chest CT images CNN COVID19 deep diagnostic Experimental result Final healthcare identifying Infectious disease limitation network Neural observation Performance metrics RT-PCR utility [DOI] 10.1155/2020/8843664 PMC 바로가기 [Article Type] Research Article
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 InfectionsArticle Published on 2020-07-162022-10-28 Journal: Viruses [Category] COVID-19, SARS, [키워드] absence Accuracy Algorithm Asymptomatic carriers average boost clinician CNN computer scientist contribute Corona virus COVID-19 deep deep learning detection diagnoses Diagnosis disease detection domain effective Effectiveness efficient effort ENhance Experimental result fatality healthcare Image processing increase Isolation learning lockdowns Long LSTM networks machine machine learning Migration Model network Neural quarantine reliability reported social distancing threat Treatment utilised virus while World War II [DOI] 10.3390/v12070769 PMC 바로가기 [Article Type] Article
Nanoparticulate vacuolar ATPase blocker exhibits potent host-targeted antiviral activity against feline coronavirusArticle Published on 2017-10-122022-10-29 Journal: Scientific Reports [Category] Coronavirus, [키워드] addition administration Alter Antibody-dependent enhancement antiviral activity Antiviral effect ATPase caused cells cellular coronavirus cytoplasmic disease downstream effective Endosomal acidification exhibit Experimental result Feline infectious peritonitis High-dose highlight in vitro model incurable Infection inhibit inhibitory activity intravenous investigated mechanism mice mutated pathogenic safety profile susceptibility therapeutic potential Treatment Vaccine vacuolar viral disease virus virus replication [DOI] 10.1038/s41598-017-13316-0 PMC 바로가기 [Article Type] Article