A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images흉부 X선 영상에서 COVID-19 사례 진단을 위한 딥 러닝 및 ANOVA 특징 선택 방법을 기반으로 하는 새로운 프레임워크Research Article Published on 2022-01-072022-09-11 Journal: Computational Intelligence and Neuroscience [Category] SARS, 치료기술, [키워드] Accuracy affected analysis of variance ANOVA Care chain Chain Reaction chest X-ray Chest X-ray images computation coronavirus coronavirus disease COVID-19 COVID-19 case COVID-19 cases curse dataset deep deep learning diagnosing diagnosis of COVID-19 disease early stage early stages Economy evaluate experimental results false-negative false-negative results feature framework Gradient identify Image IMPROVE individual learning limitation New coronavirus novel objective outperform pneumonia) polymerase chain reaction Precision radiologist Radiologists reached reaction recall reduce Result RT-PCR selected Selection specificity Spread time-consuming Transmission variance virus Wuhan X-ray [DOI] 10.1155/2022/4694567 PMC 바로가기 [Article Type] Research Article
COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray imagesCorrespondence Published on 2021-12-012022-10-05 Journal: Results in Physics [Category] Coronavirus, 치료기술, [키워드] Accuracy applied average Chest X-ray image Classifier Combination COVID-19 COVID-19 diagnosis Diagnosis Early detection Features global pandemic Gradient Haralick histogram interest K-nearest neighbor LBP Local binary pattern machine learning Morphological offer operator outperform Precision provide Region ROI sensitivity specificity support vector machine tested the disease X-ray X-ray image [DOI] 10.1016/j.rinp.2021.105045 [Article Type] Correspondence
Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey StudyOriginal Paper Published on 2021-11-172022-10-31 Journal: JMIR Mental Health [Category] COVID-19, [키워드] Additive Adults affected age Algorithm Analysis Anxiety change Combination complex contributing to COVID-19 COVID-19 pandemic cross-sectional data-driven Depression distress Effect elevated emotion emotional emotional distress exacerbate exhibited explained Factor Factors flexible Gender global pandemic Gradient Health highest highlight identify Impact impacted lowest machine machine learning Measures mental health mental illness Model modeling Month objective pandemic Pandemics predicted prediction Principal component principal component analysis proportion question response Result risk sampling strategy second Sociodemographic characteristics Substance use survey Symptom Symptoms variable variables Variation was used were used [DOI] 10.2196/32876 PMC 바로가기 [Article Type] Original Paper
COVID-19 impact: Customised economic stimulus package recommender system using machine learning techniquesResearch Article Published on 2021-11-122022-10-31 Journal: F1000Research [Category] Coronavirus, MERS, SARS, [키워드] build can be used carried collected COVID-19 customisation data analytics dataset Department develop economic stimulus package Economy employee ESP f-score finding forest Government Gradient Gradient Boosted Tree household individual low-income households machine learning machine learning model Malaysia Metrics Novel coronavirus package Precision predict predicted Predictive Predictive model preference Private Process PRS Result sensitivity Standard Statistics stimulus tree utility was selected Withdrawal [DOI] 10.12688/f1000research.72976.2 PMC 바로가기 [Article Type] Research Article
Artificial intelligence approach towards assessment of condition of COVID-19 patients – Identification of predictive biomarkers associated with severity of clinical condition and disease progressionCOVID-19 환자의 상태 평가를 위한 인공 지능 접근 - 임상 상태의 중증도 및 질병 진행과 관련된 예측 바이오마커 식별Article Published on 2021-11-012022-09-11 Journal: Computers in biology and medicine [Category] MERS, SARS, 바이오마커, [키워드] Accuracy Algorithm Algorithms Analysis approach artificial intelligence average best Biomarker Biomarkers black box Blood category change classification Classifier clinical clinical condition Clinical condition assessment Course COVID-19 COVID-19 disease COVID-19 patient critical condition Disease progression disease severity epidemiological feature Gradient help hospital identification methodology Mild moderate Patient patient condition patients with COVID-19 Personalized model predict Predictive Predictive blood biomarkers Prevent respond Rule-based machine learning. selected severity survival tested the disease were assessed [DOI] 10.1016/j.compbiomed.2021.104869 PMC 바로가기 [Article Type] Article
The Gradient of Immune/Inflammatory Response and COVID-19 Prognosis with Therapeutic ImplicationsImmunology Published on 2021-10-292022-11-01 Journal: Frontiers in Immunology [Category] COVID-19, MERS, SARS, [키워드] COVID-19 CRP (C-reactive protein) Gradient Inflammation lymphocyte Prognosis response SARS-CoV-2 [DOI] 10.3389/fimmu.2021.739482 PMC 바로가기 [Article Type] Immunology
Plasma Gradient of Soluble Urokinase-Type Plasminogen Activator Receptor Is Linked to Pathogenic Plasma Proteome and Immune Transcriptome and Stratifies Outcomes in Severe COVID-19가용성 Urokinase-Type Plasminogen Activator Receptor의 혈장 구배는 병원성 Plasma Proteome 및 면역 전사체와 연결되어 심각한 COVID-19의 결과를 계층화합니다Immunology Published on 2021-10-282022-09-11 Journal: Frontiers in Immunology [Category] MERS, SARS, 임상, [키워드] 95% confidence interval Activation acute respiratory distress acute respiratory distress syndrome Analysis analyzed ARDS benefit Biomarker caused characteristic circulating Clinical outcome clinical outcomes coagulation disorder coagulation disorders Cohort complement Complement activation coronavirus COVID-19 COVID-19 disease COVID-19 patients Critical care Cutoff cutoff value cytokine Cytokines Cytometry differential expression disease effective expressed faster Flow flow cytometry Gradient hazard ratio hyper-inflammation hypercoagulable Hypercoagulable state hyperinflammation immune mass spectrometry morbidity and mortality Mortality myeloid cell myeloid cells Next-generation sequencing Odds ratio operator pathogenic patient cohort performed Peripheral blood peripheral blood cell peripheral blood cells plasma plasma sample plasma samples plasma suPAR Plaur predict Prognosis proteome proteomics receiver receptor respiratory distress risk stratification SARS-CoV-2 coronavirus Sequencing sequencing data severe COVID-19 disease severe COVID-19 patient severe COVID-19 patients Single-cell RNA sequencing soluble uPAR statistical analyses suPAR survival syndrome systemic hyper-inflammation systemic hyperinflammation Transcriptome urokinase Urokinase-Type Plasminogen Activator was done were measured [DOI] 10.3389/fimmu.2021.738093 PMC 바로가기 [Article Type] Immunology
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
Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction RatePublic Health Published on 2021-09-142022-10-31 Journal: Frontiers in Public Health [Category] COVID-19, MERS, SARS, [키워드] Algorithm Algorithms assigned assumption COVID-19 death dependent on evaluate example Factors feature Feature selection Features forest Gradient instance machine learning MAE mean absolute error Metrics Model MSE non-linear regression performance performed predicted prediction prediction error Rate Regression reproduction reproduction rate prediction selected statistical model [DOI] 10.3389/fpubh.2021.729795 PMC 바로가기 [Article Type] Public Health
Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan ClassifiersCOVID CT-Scan 분류기에서 편향 감지를 위한 설명 가능한 인공 지능Article Published on 2021-08-232022-09-10 Journal: Sensors (Basel, Switzerland) [Category] MERS, SARS, 치료기술, [키워드] Accuracy affected Analysis approach artificial artificial intelligence AUC Bia biases changes in Classifier classifiers Complete computer vision Computerized tomography COVID COVID 19 dataset detection drastic evaluated Explainable AI Explainable artificial intelligence Gradient heatmap help highlight identify image classification Impact intelligence LIME Medical imaging methodology motivation Performance metrics problem Result robust shown Smooth tandem Vanilla were used [DOI] 10.3390/s21165657 PMC 바로가기 [Article Type] Article