A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detectionResearch article Published on 2022-12-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy Affect Algorithm Classifier cloud computing complex computation conducted COVID-19 COVID19 CT scan dataset datasets deep deep learning detect diagnose effective Efficiency evaluate False positives forest global pandemic Healthcare industry heat Heat Transfer Search algorithm identify immunization inefficient Interaction less lung CT scan methodology offer outcomes overcome Patient Pneumonia predict PROTECT random Random forest resource Support the patient virus Web services X-ray [DOI] 10.1016/j.eswa.2022.118227 [Article Type] Research article
Population-weighted exposure to green spaces ties to lower COVID-19 mortality rates: A nationwide dose-response study in the USAResearch article Published on 2022-12-012022-10-05 Journal: The Science of the total environment [Category] 유전자 메커니즘, 진단, [키워드] adjusted adopted association buffer caused chronic disease confidence interval Contact with nature COVID-19 mortality COVID-19 pandemic Critical decrease distribution ecological Effect effect size environmental factors forest greater Health increase in investigated knowledge Landscape planning and design linear mechanism mitigate mixed-effects model Mortality mortality rate mortality rates Nearby nature Optimal dose of nature promote PROTECT Regulation Research risk of COVID-19 SARS-CoV-2 Sociodemographic USA with COVID-19 [DOI] 10.1016/j.scitotenv.2022.158333 [Article Type] Research article
A Comparative Study of Asymptomatic Malaria in a Forest Rural and Depleted Forest Urban Setting during a Low Malaria Transmission and COVID-19 Pandemic PeriodArticle Published on 2022-10-152022-11-15 Journal: BioMed Research International [Category] 치료기술, 치료제, [키워드] 95% CI activity Antigen Asymptomatic characteristic Community Comparative COVID-19 COVID-19 pandemic Depleted determine ecological enrolled expected forest Intervention logistic regression models malaria morbidity and mortality multivariate model Odds ratio participant Participants Period Plasmodium falciparum positive predictor Prevalence questionnaire Randomly Risk factors setting socio-demographic statistically significant Transmission urban was performed zone [DOI] 10.1155/2022/2545830 PMC 바로가기
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architecturesResearch article Published on 2022-10-012022-10-05 Journal: Knowledge-Based Systems [Category] 바이오마커, 진단, 치료기술, [키워드] 1EVowel /e/ vocal task 2SSentence vocal task 3CCough vocal task Accuracy acting AdaBoost adopted Algorithms Analysis applied approach binary Biomarker Biomarkers CFSCorrelation-based Feature Selection Classifier clinically CNN CNNConvolutional neural network collected Convolutional neural network Correlation-based Feature Selection Cough vocal task COVID COVID-19 COVID-19 pandemic COVID-19 positive subjects deep deep learning DLDeep Learning Effect evaluated feature Features forest Healthy control subjects HHealthy control subjects highlight identify independent individual machine learning Mel-frequency Cepstral Coefficients MFCCMel-frequency Cepstral Coefficients MLmachine learning nasal swab NSNasal Swab PCRPolymerase Chain Reaction-based molecular swabs Polymerase Chain Reaction-based molecular swabs positive Positive subjects Positive versus Healthy subjects comparison PPositive subjects PvsHPositive versus Healthy subjects comparison Random forest real time Receiver-Operating Curve Recovered subjects Recovered versus Healthy subjects comparison Rectified Linear Unit ReLuRectified Linear Unit RFRandom Forest ROCReceiver-Operating Curve RRecovered subjects RvsHRecovered versus Healthy subjects comparison selection process Sentence vocal task subject subjects subset support vector machine SVMSupport vector machine Vowel /e/ vocal task [DOI] 10.1016/j.knosys.2022.109539 [Article Type] Research article
Characteristics and outcomes of SARS-COV 2 critically ill patients after emergence of the variant of concern 20H/501Y.V2: A comparative cohort studyArticle Published on 2022-09-302022-11-16 Journal: Medicine [Category] SARS, 변종, [키워드] 24 hours 95 % CI 95% CI 95% confidence interval absence Admission Analysis change Characteristics cohort of patient cohort study Complete coronavirus 2 Critical care Critically ill patient demographic data dominant expected Fever forest higher risk ICU immunological improvement increased risk Indian Ocean indicated intensive care Invasive mechanical ventilation island less Lineage management Mayotte Mortality outcome outcomes Patient patients performed respiratory Respiratory failure SARS-CoV-2 second wave severe patients severity suggested survival Transmissibility unique VAP variant Ventilator-associated pneumonia Viral genome sequencing VoC [DOI] 10.1097/MD.0000000000030816 PMC 바로가기
Detection of COVID-19 using deep learning techniques and classification methodsResearch article Published on 2022-09-012022-10-05 Journal: Information Processing & Management [Category] 진단, 치료기술, [키워드] Accuracy addition AUC value auxiliary can be used chain classification COVID-19 COVID-19 disease COVID-19 patient criteria database decision deep learning detection Diagnosis diagnosis of COVID-19 education evaluated examined feature forest Naive Baye PCR radiologist reaction reduce Resnet ROC Curve Spread Support support vector machine SVM the disease the patient Transmission tree was obtained [DOI] 10.1016/j.ipm.2022.103025 [Article Type] Research article
COVID-19 chest X-ray detection through blending ensemble of CNN snapshotsResearch article Published on 2022-09-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 변종, 치료기술, [키워드] Accuracy adopted Algorithm assist Asymptomatic Blending chest X-ray Chowdhury Classifier fusion CNN CNNs Combination contribute COVID-19 COVID-19 pandemic COVID-19 virus CXR dataset deep learning detection Efficacy effort Ensemble event Experimental result feature forest generate increasingly information methodology network Neural practitioners Research shown transfer virus [DOI] 10.1016/j.bspc.2022.104000 [Article Type] Research article
Risk assessment in COVID-19 patients: A multiclass classification approachResearch article Published on 2022-07-192022-10-05 Journal: Informatics in Medicine Unlocked [Category] 유전자 메커니즘, 치료기술, [키워드] Accuracy age Algorithm applied approach artificial cause Comorbidity Complication component COVID-19 COVID-19 disease COVID-19 patient dataset death determine diabete Dyspnea elapsed Factor Factors Feature importance forest hypertension intelligence machine learning Ministry of Health Multiclass classification pandemic performed receiving risk Risk assessment risk factor SARS-COV-2 infection Severe case severity Sex Symptom Symptoms Treatment understanding [DOI] 10.1016/j.imu.2022.101023 [Article Type] Research article
AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer’s patients with COVID-19Research article Published on 2022-07-012022-10-05 Journal: Computers in biology and medicine [Category] 진단, [키워드] Accuracy AD-CovNet AdaBoost addition Algorithm Alzheimer's disease clinical feature COVID-19 dataset datasets deep learning Dementia Diagnosis diagnostic disease Effectiveness evaluate evaluated Exploratory analysis fatality feature forest help Inclusion Long LSTM management MLP morbidity Mortality offer outcome Patient patients patients with COVID-19 perceptron Precision predict predicted problem recall risk factor Risk factors selected statistical significance stimulate unique [DOI] 10.1016/j.compbiomed.2022.105657 [Article Type] Research article
Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin DResearch article Published on 2022-07-012022-10-05 Journal: Clinical nutrition ESPEN [Category] 임상, [키워드] Accuracy age Algorithm Algorithms anorexia approach AUC automated Automated prediction blood sample can be used cardiovascular disease Characteristics conducted correlation COVID-19 COVID-19 severity cross-sectional data set decision develop disease severity disease symptoms Factor FBS feature forest Gender indicated investigated machine machine learning novel coronavirus disease outcome parameter Patient Precision Predictive model recall Result Serum level Severe case severity Standard therapy statistical support vector machine SVM Treatment tree [DOI] 10.1016/j.clnesp.2022.07.011 [Article Type] Research article