Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning SchemeArticle Published on 2021-11-152022-10-29 Journal: Sensors (Basel, Switzerland) [Category] COVID-19, MERS, SARS, [키워드] Algorithm autoencoder collected competing COVID-19 data prediction dataset deep learning ensemble machine learning Evolution feature filtered involved Involving learning media message N-gram N-gram feature extraction network outperform performed platform predict random Research selected social media Support SVM training data Twitter Data [DOI] 10.3390/s21227582 PMC 바로가기 [Article Type] Article
Detection of Iris Presentation Attacks Using Feature Fusion of Thepade’s Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features그레이 레벨 동시 발생 매트릭스 기능과 함께 Thepade의 Sorted Block Truncation Coding의 기능 융합을 사용한 홍채 표현 공격 탐지Article Published on 2021-11-082022-09-10 Journal: Sensors (Basel, Switzerland) [Category] MERS, SARS, 변종, 치료기술, [키워드] Accuracy Algorithm approach attack attacks block carried classifiers co-occurrence coding Contact contagious diseases datasets Decision tree detection experimental validation feature Feature extraction feature fusion Features followed by fusion GLCM help human–computer interaction ILD IMPROVE Interaction IRIS iris images liveness detection Local machine learning machine learning classifiers matrix mitigate naïve Naïve Bayes nine Precision presentation provide random Random forest recall security Spread Support support vector machine SVM truncation TSBTC used to evaluate variants [DOI] 10.3390/s21217408 PMC 바로가기 [Article Type] Article
External validation of Machine Learning models for COVID-19 detection based on Complete Blood CountResearch Published on 2021-10-232022-10-31 Journal: Health Information Science and Systems [Category] COVID-19, [키워드] affected applicability applied AUC average calibrated calibration CBC clinician collected comparable complete blood count count COVID-19 COVID-19 diagnosis COVID-19 patients dataset datasets develop Diagnosis diagnostic error rate External external validation false-negative rate faster help hematological parameter hospital Italy less machine learning ML model ML models positive positive patients reported Result routine rRT-PCR RT-PCR shortage of reagents SVM was performed [DOI] 10.1007/s13755-021-00167-3 PMC 바로가기 [Article Type] Research
Exploring and Monitoring the Reasons for Hesitation with COVID-19 Vaccine Based on Social-Platform Text and Classification AlgorithmsArticle Published on 2021-10-122022-10-31 Journal: International journal for equity in health [Category] COVID-19, [키워드] Analysis classification Classifier conducted conventional vaccines country COVID-19 pandemic COVID-19 vaccine effort experiment Immunity Logistic regression machine-learning mitigate monitoring NBC platform Previous studies provide public health Quantitative reason Result selected Support SVM text Text classification Vaccine hesitancy vaccine hesitant with COVID-19 [DOI] 10.3390/healthcare9101353 PMC 바로가기 [Article Type] Article
Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methodsX-Ray 이미지와 특징 선택 방식을 기반으로 한 심층 특징을 사용하여 COVID-19의 정확한 탐지Article Published on 2021-10-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 치료기술, [키워드] Accuracy ACO addition Additional diagnosis Affect affecting Algorithm Ant colony applied attack attacks benefit Chain Reaction Classifier CNN country COVID-19 COVID-19 virus decision support system deep deep features detection system detection systems Diagnosis Epidemic feature Feature selection health system health systems high mortality rate highest less Lungs normal polymerase chain reaction PSO radiologist Radiologists required RT-PCR selection process significantly Support Support System SVM the epidemic thought X-ray [DOI] 10.1016/j.compbiomed.2021.104771 PMC 바로가기 [Article Type] Article
Diagnostic performance of rapid antigen test for COVID-19 and the effect of viral load, sampling time, subject’s clinical and laboratory parameters on test accuracyResearch article Published on 2021-10-012022-10-05 Journal: Journal of infection and public health [Category] SARS, 진단, [키워드] Accuracy Antigen Blood characteristic collected country COVID-19 COVID-19 cases COVID-19 diagnosis determinant determine Diagnosis diagnostic diagnostic test disease stage disease stages ENhance feature Features Healthcare system highest individual Laboratory laboratory parameter National pandemic Patient Predictive quantitative real-time PCR radiological random forest classification rapid antigen test Result RT-qPCR Sample SARS-CoV-2 sensitivity specificity subject’ Support SVM Swab Test transcriptase Viral load was used were used [DOI] 10.1016/j.jiph.2021.06.002 [Article Type] Research article
Identification of Novel COVID-19 Biomarkers by Multiple Feature Selection Strategies다중 기능 선택 전략에 의한 새로운 COVID-19 바이오마커 식별Research Article Published on 2021-09-272022-09-11 Journal: Computational and Mathematical Methods in Medicine [Category] MERS, 바이오마커, [키워드] Accuracy acute respiratory syndrome acute respiratory syndrome coronavirus acute respiratory syndrome coronavirus 2 Analysis arising best Biomarker Classifier classifiers coronavirus coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 diagnosis expression profile expression profiles false negatives functional enrichment Functional enrichment analysis Genes GEO database global pandemic golden standard identification leads Multiple network analysis novel Nucleic acid detection PCA positive PPI Principal component principal component analysis protein-protein interaction respiratory SARS-CoV-2 SARS-CoV-2 nucleic acid screened Selection severe acute respiratory syndrome Coronavirus Strategy Support SVM the disease triggering was used [DOI] 10.1155/2021/2203636 PMC 바로가기 [Article Type] Research Article
Severity Assessment of COVID-19 Using a CT-Based Radiomics ModelResearch Article Published on 2021-09-272022-10-29 Journal: Stem Cells International [Category] COVID-19, [키워드] Algorithm analyzed assessment AUC build Classifier coronavirus disease COVID-19 COVID-19 patient COVID-19 patients determine diagnostic feature Features fixed four group group groups inefficient lesion Model outbreak Precision progression radiologist Randomly recall receiver operating characteristic ROC severity severity of COVID-19 Stage Support SVM test dataset the disease the patient training dataset worldwide pandemic [DOI] 10.1155/2021/2263469 PMC 바로가기 [Article Type] Research Article
Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP ApproachArticle Published on 2021-09-242022-10-29 Journal: Sensors (Basel, Switzerland) [Category] COVID-19, SARS, [키워드] Accuracy Additive Admission Algorithm ANN approach artificial assist automated triage Care Classifier clinical variable Clinicians COVID-19 COVID-19 pandemic decision emergency department evaluate exceeded FIVE forest Gradient Health Health authority help hierarchy hybrid hybrid XGBoost-AHP approach ICU ICU admission ICUs increase in intensive care admissions intensive care unit laboratory investigation neighborhood network Neural Patient patients with COVID-19 Process Research sensitivity severe COVID-19 specificity suggested support vector machine SVM System tree Triage was used [DOI] 10.3390/s21196379 PMC 바로가기 [Article Type] Article
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related DataArticle Published on 2021-09-212022-10-29 Journal: Sensors (Basel, Switzerland) [Category] COVID-19, SARS, [키워드] Algorithm approach artificial intelligence Bitcoin coin collected condition COVID-19 COVID-19 pandemic Cryptocurrency Data analysis Data science database digital currency Dogecoin Ethereum Evidence gold machine learning New pandemic predict produced quartile return robust SARS-CoV-2 selected sensing and data extraction Support support vector machine SVM [DOI] 10.3390/s21186319 PMC 바로가기 [Article Type] Article