Active disease-related compound identification based on capsule network캡슐 네트워크 기반 활성 질병 관련 화합물 식별Article Published on 2022-01-172022-09-11 Journal: Briefings in Bioinformatics [Category] SARS, 치료제, [키워드] acute lung injury acute respiratory distress acute respiratory distress syndrome capsule network collected component Compound coronavirus COVID-19 death disease drug drug prescription experiment feature identify injection Lung injury multiple organ failure Pathogenesis pharmacological pharmacological mechanism Pneumonia Prescriptions respiratory distress Respiratory distress syndrome SVM syndrome Toxicity training set Virus Disease [DOI] 10.1093/bib/bbab462 PMC 바로가기 [Article Type] Article
Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental LearningResearch Article Published on 2022-01-132022-10-31 Journal: Computational and Mathematical Methods in Medicine [Category] Coronavirus, SARS, [키워드] Accuracy applied caused COVID-19 dataset Diagnosis diagnostic disease Disease diagnosis Diseases early stage IMPROVE learning New number of sample problems reduce reduction selected Support SVM [DOI] 10.1155/2022/7631271 PMC 바로가기 [Article Type] Research Article
Multisource Smart Computer-Aided System for Mining COVID-19 Infection DataArticle Published on 2022-01-062022-10-31 Journal: International journal for equity in health [Category] COVID-19, [키워드] Accuracy Analysis approach approaches assist CAD CNN computer-aided diagnosis (CAD) COVID-19 COVID-19 infection COVID-19 pandemic CXR Data mining datasets deep learning demonstrated detection rate diagnose diagnosing Diagnosis Effectiveness experiment Healthcare system machine learning medical information system naïve overcome parameter problem Respiratory system SmaRT suggested SVM System transfer transfer learning was used X-ray [DOI] 10.3390/healthcare10010109 PMC 바로가기 [Article Type] Article
CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classificationResearch article Published on 2022-01-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy added Basis function Chest X-ray images Convolution Convolutional neural network coronavirus COVID COVID-19 Critical dataset deep learning detect diagnose effective feature FIVE Health Metrics outbreak parameter Patient positive Precision Radial reached recall researcher RT-PCR SARS CoV-2 significantly higher support vector machine SVM synchronization time-consuming undergo X-ray [DOI] 10.1016/j.bspc.2021.103272 [Article Type] Research article
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infectionCovid-19 감염을 감지하기위한 흉부 X- 레이 이미지의 깊은 시각 단어 특징의 다중 규모 백 융합Article Published on 2021-12-132022-09-01 Journal: Scientific Reports [Category] 진단, 치료기술, [키워드] Accuracy Algorithm capture CD1 CD2 CD3 CD4 chest X-ray Chest X-ray image Computational biology and bioinformatics Convolution COVID-19 disease COVID-19 infection CXR dataset deep deep learning detect Diagnosis evaluate Experimental result experimental results feature Features fusion information Lungs Medical research Region shown support vector machine SVM the lungs a X-ray [DOI] 10.1038/s41598-021-03287-8 PMC 바로가기 [Article Type] Article
Is It Possible to Earn Abnormal Return in an Inefficient Market? An Approach Based on Machine Learning in Stock TradingResearch Article Published on 2021-12-082022-10-31 Journal: Computational Intelligence and Neuroscience [Category] Coronavirus, MERS, SARS, [키워드] adjusted approach city COVID-19 pandemic effective Efficiency evaluate exchange Ho Chi Minh Hypothesis Logistic regression machine learning outcome potential risk proportion return risk Risk management stock Support SVM Topic [DOI] 10.1155/2021/2917577 PMC 바로가기 [Article Type] Research Article
Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms ApproachArticle Published on 2021-11-252022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Algorithm alpha-ketoglutaric acid alterations Anosmia Biomarker clinical manifestations cough COVID-19 COVID-19 patient Data analysis Diagnosis difference Disease diagnosis disease severity Fever Genetic hemoglobin identify immune response implication Kynurenine lactic acid Logistic regression machine learning machine learning algorithm men men and women metabolomics Mortality outbreak outcome pandemic predict reported Sex Support SVM the disease Treatment variable variables with COVID-19 women [DOI] 10.3390/diagnostics11122197 PMC 바로가기 [Article Type] Article
An Overview of Supervised Machine Learning Methods and Data Analysis for COVID-19 DetectionCOVID-19 탐지를 위한 지도 머신 러닝 방법 및 데이터 분석 개요Review Published on 2021-11-222022-09-10 Journal: Journal of Healthcare Engineering [Category] MERS, SARS, 치료기술, 치료제, [키워드] Accuracy Albert Einstein Algorithm Analysis applied best Blood COVID-19 COVID-19 diagnosis dataset datasets detection EDA feature Kaggle machine learning Machine learning algorithms machine learning model optimization parameters performed processed Result San Raffaele Hospital sensitivity specificity Support support vector machine SVM target was done was selected [DOI] 10.1155/2021/4733167 PMC 바로가기 [Article Type] Review
A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images흉부 X선 영상을 이용한 코로나19 진단을 위한 하이브리드 컨볼루션 신경망 모델Article Published on 2021-11-202022-09-10 Journal: International Journal of Environmental Research an [Category] MERS, SARS, 치료기술, [키워드] Accuracy chest X-ray chest XR images Classifier collected conducted Convolutional neural network COVID-19 COVID-19 infection COVID-19 patient COVID-19 patients dataset deep learning detect disease detection expression expressions Extensive faster feature Health care Health care system health care systems help highest hybrid Image impacted IMPROVE InceptionV4 Infection lockdowns Model network Neural pandemic radiologist Radiologists rate of infection required RT-PCR SVM X-ray [DOI] 10.3390/ijerph182212191 PMC 바로가기 [Article Type] Article
An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading InformationCOVID-19 오해의 소지가 있는 정보를 감지하기 위한 최적화된 하이브리드 딥 러닝 모델Research Article Published on 2021-11-152022-09-11 Journal: Computational Intelligence and Neuroscience [Category] MERS, SARS, 치료기술, [키워드] Accuracy best CNN conducted Convolutional neural network COVID-19 COVID-19 epidemic COVID-19 outbreak dataset deep deep learning detect Early detection experiment experimental results Fake new fake news hybrid information learning machine learning model machine learning models memory Model outperform Precision recall Short-Term Memory significantly social media Spread SVM used to evaluate [DOI] 10.1155/2021/9615034 PMC 바로가기 [Article Type] Research Article