Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest imagesCT 흉부 이미지에서 방사선 기능을 사용한 코로나 바이러스 질병 2019 (Covid-19) 및 기타 폐렴의 진단 분류Article Published on 2021-09-092022-09-01 Journal: Scientific Reports [Category] SARS, 임상, 진단, 치료기술, 치료법, [키워드] Accuracy AUC biomedical engineering Blood blood cell blood oxygen Bonferroni correction C-reactive protein Chest CT image Chest CT images Cohort collected conducted coronavirus disease Coronavirus disease 2019 correlated Correlation analysis COVID-19 COVID-19 patient COVID-19 patients CT chest determine diagnose diagnosis of COVID-19 diagnostic classification erythrocyte sedimentation erythrocyte sedimentation rate feature Final hypersensitive C-reactive protein identify independent Laboratory Laboratory test Lymphocytes Medical imaging multiple comparison correction Neutrophils nucleic acid nucleic acid test oxygen participant Patient patients patients with COVID-19 Pneumonia pneumonias positive positively correlated region of interest Respiratory tract diseases ROI RT-PCR sedimentation rate sensitivity specificity Support support vector machine SVM two group two groups validation cohort vector was performed was used WBC White blood cell [DOI] 10.1038/s41598-021-97497-9 PMC 바로가기 [Article Type] Article
Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumoniaResearch Article Published on 2021-09-082022-10-28 Journal: BMC Infectious Diseases [Category] COVID-19, SARS, [키워드] 95% CI Accuracy AUC characteristic Chest CT Clinical features clinician Cohort collected Combination coronavirus disease Coronavirus disease 2019 (COVID-19) COVID-19 COVID-19 patient Critical develop Diagnosis evaluated feature Features group helping identify machine machine learning Non-COVID-19 Non-COVID-19 patients Non-COVID-19 pneumonia Patient Pneumonia positive radiological features radiologist Radiomics reached Result Retrospective study sensitivity Sensitivity and specificity significantly lower specificity supplementary material support vector machine SVM Volume was used [DOI] 10.1186/s12879-021-06614-6 PMC 바로가기 [Article Type] Research Article
CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray imagesResearch article Published on 2021-09-012022-10-05 Journal: Information Sciences [Category] 변종, 치료기술, [키워드] Accuracy Algorithm approach Care Chest Chest X-ray image Classifier complex coronavirus COVID-19 Critical database diagnose diagnosis of COVID-19 Differential evolution algorithm Evolution feature infected individual introduced K-means clustering manual intervention Particle swarm optimization Patient performed provided real time required robust SARS-CoV-2 selected support vector machine SVM [DOI] 10.1016/j.ins.2021.03.062 [Article Type] Research article
Docking-generated multiple ligand poses for bootstrapping bioactivity classifying Machine Learning: Repurposing covalent inhibitors for COVID-19-related TMPRSS2 as case studyResearch article Published on 2021-08-192022-10-05 Journal: Computational and Structural Biotechnology Journal [Category] 신약개발, [키워드] Accuracy approach Bioactivity Bootstrapping Contact Coronaviruses covalent docking docked docking enzyme FDA approved drug inhibitor involved Ligand Ligand-receptor contact fingerprints machine machine learning Molecular dynamics simulation random repurposing Scoring serine protease Support supported SVM TMPRSS2 variables [DOI] 10.1016/j.csbj.2021.08.023 [Article Type] Research article
COVID-19 cough classification using machine learning and global smartphone recordingsResearch article Published on 2021-08-012022-10-05 Journal: Computers in biology and medicine [Category] 유전자 메커니즘, [키워드] addressed approach AUC Classifier CNN convolutional neural network (CNN) cough Cough classification coughs COVID-19 COVID-19 negative dataset evaluate exhibited feature healthy healthy subjects identify include K-nearest neighbour (KNN) Laboratory limit Logistic regression Logistic regression (LR) long short-term memory (LSTM) machine learning memory Multilayer perceptron (MLP) oversampling positive recorded reduce ResNet50 ROC Curve SARS-CoV Self-isolation Seven SFS South Africa subject Support Support vector machine (SVM) SVM the healthy Transmission was collected was used [DOI] 10.1016/j.compbiomed.2021.104572 [Article Type] Research article
Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray ImagesX선 이미지와 함께 예시적인 하이브리드 심층 기능을 사용한 자동 COVID-19 감지Article Published on 2021-07-292022-09-10 Journal: International Journal of Environmental Research an [Category] SARS, 치료기술, [키워드] Accuracy applied Automatic best classification Classifier CNN CNNs Convolutional neural networks COVID-19 COVID-19 detection database datasets deep deep feature generation detect detection detection system Exemplar COVID-19FclNet9 feature Features fused generate healthcare hybrid Image iterative iterative NCA Medical imaging nine Pneumonia Research respiratory respiratory disorder respiratory disorders selected Support support vector machine SVM Topic transfer learning X-ray [DOI] 10.3390/ijerph18158052 PMC 바로가기 [Article Type] Article
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19Research Article Published on 2021-07-202022-10-31 Journal: Journal of Healthcare Engineering [Category] COVID-19, SARS, [키워드] approach binding affinities binding affinity can be used clinical trial combating Compound COVID-19 dataset deep deep learning Diagnosis drug Drug discovery drug target drugs effective ENhance forest genetics greater helping Interaction learning Logistic regression Microscopy molecular pandemic disease Pandemics Protein radiologist Remdesivir required Research responsible Result robust SARS-CoV-2 shown suggested SVM Treatment Vaccines were used [DOI] 10.1155/2021/6668985 PMC 바로가기 [Article Type] Research Article
Support Vector Machine as a Supervised Learning for the Prioritization of Novel Potential SARS-CoV-2 Main Protease Inhibitors새로운 잠재적 SARS-COV-2 주요 프로테아제 억제제의 우선 순위를위한 감독 학습으로 벡터 머신을 지원합니다.Article Published on 2021-07-192022-08-31 Journal: International Journal of Molecular Sciences [Category] SARS, 신약개발, 치료제, [키워드] active against actives affected approach best binding binding interaction classification cleavage Compound compounds Consensus COVID-19 COVID-19 pandemic dataset docking docking study drugs effort enzyme evaluated FIVE helping Immunity Infection inhibitors Interaction learning machine learning main protease molecular molecular docking molecular dynamics molecular mechanisms MPro novel PDB structure polypeptide polypeptides Potential protease protease inhibitors Research responsible retrieved SARS-CoV-2 Scientific community selected stability starting submitted Support support vector machine SVM Transcription Vaccine Viral viral genome world population [DOI] 10.3390/ijms22147714 PMC 바로가기 [Article Type] Article
A machine learning based exploration of COVID-19 mortality riskCOVID-19 사망률 위험에 대한 기계 학습 기반 탐색Research Article Published on 2021-07-022022-09-12 Journal: PLoS ONE [Category] SARS, 진단, [키워드] Admission age Analysis both groups Cardiovascular disorders Combined COVID-19 mortality decrease demographic data develop feature Features information intervals intervene invasive joint Laboratory machine learning model Mortality Non-invasive noninvasive pandemic patient mortality patient triage Predictive Prognosis resource risk SPO suggested support vector machine SVM Treatment treatment planning [DOI] 10.1371/journal.pone.0252384 PMC 바로가기 [Article Type] Research Article
Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types다양한 잠금 유형에서 일일 총 COVID-19 감염 및 사망 사례를 감지하고 예측하는 기계 학습 기술Article Published on 2021-07-012022-09-11 Journal: Microscopy research and technique [Category] SARS, 치료기술, [키워드] Accuracy adopted ARIMA Complete country COVID-19 criteria cumulative data set data sets death deaths detect Effectiveness error evaluated Forecasting healthcare hospitals impacted infected case infected cases intensity lockdown lockdowns lung lungs infection machine machine learning models mitigate pandemic predict public health random reduce social isolation Spread SVM the SARS-CoV-2 Time series were used [DOI] 10.1002/jemt.23702 PMC 바로가기 [Article Type] Article