Ensemble of Deep Neural Networks based on Condorcet’s Jury Theorem for screening Covid-19 and Pneumonia from radiograph imagesResearch article Published on 2022-10-012022-10-05 Journal: Computers in biology and medicine [Category] 치료기술, [키워드] Accuracy Affect Algorithm approach artificial biomedical imaging Chest X-ray images Classifier Condorcet’s Jury Theorem COVID-19 dataset deep Deep feature extraction deep learning demonstrated determine Ensemble learning evaluate Extended faster Final help IMPROVE intelligence learning likelihood majority Majority voting network Neural parameter Pneumonia Prevent problem sensitivity specificity subject theorem while [DOI] 10.1016/j.compbiomed.2022.105979 [Article Type] Research article
Multiphysical graph neural network (MP-GNN) for COVID-19 drug designArticle Published on 2022-07-182023-07-09 Journal: Briefings in Bioinformatics [Category] COVID19(2023년), [키워드] drug design Ensemble learning Graph neural network Graph representation and featurization Protein–ligand binding. [DOI] 10.1093/bib/bbac231
A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection델타형 COVID-19 탐지를 위한 새로운 딥 러닝 및 앙상블 학습 메커니즘Article Published on 2022-07-082022-09-11 Journal: Frontiers in Public Health [Category] COVID19(2023년), SARS, 치료기술, 치료제, [키워드] Accuracy acute respiratory syndrome acute respiratory syndrome coronavirus AI Analysis applicability assumed AUC bottleneck chest X-ray Community Confusion confusion matrix coronavirus coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 infection deep deep learning defined Delta-type COVID-19 detection diagnosing Diagnosis disease domain dry cough Dyspnea Ensemble learning ensemble learning technique f-score fatigue Features Fever hybrid deep learning. learning morbidity mortalities Mortality Non-invasive novel Novel coronavirus novel coronavirus disease ocular Other Patient Performance metrics Practitioner practitioners Precision presenting Radiographic radiologist recorded Research response SARS-CoV-2 Support support vector machine SVM Variation VGG16 virus X-ray [DOI] 10.3389/fpubh.2022.875971 PMC 바로가기 [Article Type] Article
An Ensemble Learning Model for COVID-19 Detection from Blood Test SamplesArticle Published on 2022-03-132022-11-16 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy AdaBoost approach AUC Blood blood tests Classifier clinician CNN conducted COVID-19 COVID-19 disease current dataset datasets decision deep learning descent detection detection system develop diagnose Diagnosis diagnostic Diagnostic model diagnostics Discriminant effective Ensemble learning experiment feature forest Gradient Laboratory learning limitation machine learning algorithm Model Naïve Bayes outperform Passive perceptron polymerase chain Regression Research reverse transcription ridge RT-PCR Sample San Raffaele Hospital small data. stochastic support vector machine Test tree virus [DOI] 10.3390/s22062224 PMC 바로가기
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-raysS.I.: AI-based e-diagnosis Published on 2022-01-052022-10-29 Journal: Neural Computing & Applications [Category] COVID-19, [키워드] abnormality Accuracy acute respiratory syndrome assigned assist AUC average Bell-shape function can be used caused chest X-ray Classifier Combination Convolutional neural network coronavirus COVID COVID-19 COVID-19 detection CXR dataset datasets deep learning detect diagnosis of COVID-19 disease Ensemble learning evaluate Experimental result Final identify Inverted Lungs novel Radiography researcher ROC SARS-CoV-2 Spread the disease trained model transfer viral disease X-ray [DOI] 10.1007/s00521-021-06737-6 PMC 바로가기 [Article Type] S.I.: AI-based e-diagnosis
Ensemble Machine Learning Model to Predict SARS-CoV-2 T-Cell Epitopes as Potential Vaccine TargetsArticle Published on 2021-10-262022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Accuracy acute respiratory syndrome amino acid sequence amino acids antigenic antigenic protein Area assessments AUC average candidate caused coronavirus coronavirus disease COVID-19 cross determinant determinants effective Ensemble learning epitope experiment f-score help identify IEDB immune Immune Epitope Database in vitro in vivo inactive less machine learning machine learning classifier Model outbreak peptide peptide vaccine peptide-based vaccines physicochemical property Potential Precision predicted Probability Random forest repeated Repository retrieved robust ROC Curve SARS-CoV-2 SARS-CoV-2 peptide Scientific community sensitivity single-stranded RNA virus specificity T-cell T-cell epitope T-cell epitopes target target pathogen time-consuming Treatment Vaccine vaccine candidate Vaccine development voting ensemble was recorded worldwide pandemic [DOI] 10.3390/diagnostics11111990 PMC 바로가기 [Article Type] Article
Efficient machine learning model for predicting drug-target interactions with case study for Covid-19COVID-19에 대한 사례 연구와 약물-표적 상호 작용을 예측하기위한 효율적인 기계 학습 모델Article Published on 2021-08-012022-08-31 Journal: Computational biology and chemistry [Category] MERS, SARS, 신약개발, 치료기술, 치료제, [키워드] Accuracy ACE2 protein affected Algorithm amino-acid amino-acid sequence applied can be used case study chemical properties computational method Corona virus Corona viruses COVID-19 COVID-19 infection cross dataset datasets Deep-learning develop drug drug treatment drug treatments drug-target interaction Drug-target interactions DrugBank drugs Effect effective efficient Ensemble learning experiment Experimental result experimental results f-score feature Infection input Interaction interactions labor labor-intensive Laboratory LINE machine machine learning performed physical physical and chemical properties predict predicted prediction Protein protein sequence protein sequences Proteins Structure structures System target time-consuming viruses [DOI] 10.1016/j.compbiolchem.2021.107536 PMC 바로가기 [Article Type] Article
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patientsResearch article Published on 2021-06-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy affected Analysis approach average binary classification Care Characteristics Chest contribute Convolution neural networks Corona coronavirus country COVID COVID-19 COVID-19 case COVID-19 infected patient COVID-19 infected patients COVID-19 patient COVID-19 patients deep deep learning diagnosing Diagnosis diagnostic Ensemble learning exponential growth Fatality rate Health help identify learning network model Neural normal novel pandemic patients positive practitioners Precision problems Radiography radiologist resources transfer learning Treatment was obtained X-ray [DOI] 10.1016/j.asoc.2021.107184 [Article Type] Research article
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2나쁜 예후 예측을 위한 앙상블 학습: SARS-CoV-2 사례 연구Research and Applications Published on 2021-04-132022-09-12 Journal: Journal of the American Medical Informatics Associ [Category] SARS, 진단, [키워드] acute respiratory syndrome acute respiratory syndrome coronavirus 2 Blood calibration China clinical decision Cohort cohorts collected competent complementary coronavirus coronavirus disease Coronavirus disease 2019 COVID-19 Decision making Decision support discrimination Ensemble learning implementation International material Metrics model synergy objective pandemic parameter patients performance physiological poor prognosis population level predictive power Result risk prediction robust SARS-CoV-2 selected severe acute respiratory syndrome Coronavirus the SARS-CoV-2 United Kingdom were used [DOI] 10.1093/jamia/ocaa295 PMC 바로가기 [Article Type] Research and Applications
Reservoir hosts prediction for COVID-19 by hybrid transfer learning modelOriginal Research Published on 2021-03-092023-07-01 Journal: Journal of biomedical informatics [Category] SARS, [키워드] COVID-19 Ensemble learning Hosts prediction machine learning transfer learning virus origins [DOI] 10.1016/j.jbi.2021.103736 PMC 바로가기 [Article Type] Original Research