Automated detection of Covid-19 disease using deep fused features from chest radiography imagesResearch article Published on 2021-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy approach Automatic medical diagnosis Bi-LSTM binary classification caused chain Chest radiography Classifier costly country COVID-19 death deep deep learning detect develop disease experiments faster feature first stage forest fused Gradient health system healthy high accuracy hospital pandemic performed Pneumonia reaction RGB separated were used X-ray [DOI] 10.1016/j.bspc.2021.102862 [Article Type] Research article
Ultra-Wideband Positioning Sensor with Application to an Autonomous Ultraviolet-C Disinfection VehicleArticle Published on 2021-08-012022-10-29 Journal: Sensors (Basel, Switzerland) [Category] Coronavirus, MERS, SARS, [키워드] addition Algorithm application applied autonomous average computation COVID-19 COVID-19 infection COVID-19 virus demonstrated descent Disinfection disinfection vehicle dose Efficiency expected Gradient Guidance IMPROVE inactivation positioning Prevent protocol reproductive risk sensor synchronization Taylor ultra-wideband Ultraviolet-C vehicle wireless positioning [DOI] 10.3390/s21155223 PMC 바로가기 [Article Type] Article
Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and InterpretationOriginal Paper Published on 2021-07-092022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] 24 hour 24 hours age assist AUC Blood urea nitrogen C-reactive protein canonical markers clinical clinical activity Clinical data clinical decision clinical marker coronavirus COVID-19 COVID-19 pandemic Deceased Decision making development Diabetic Disease progression disease severity effort elevated Endpoint Factor feature Final Glucose Gradient Health care system highest hospital Hospital stay Hospitalization ICU identify intensive care lab value lactate dehydrogenase LDH machine learning marker Model modeling morbidity morbidity and mortality Mortality New York New York City objective offered outcome outcomes Patient patient data performance peripheral oxygen saturation positive predict prediction Predictive Predictive modeling respiration rate Result Retrospective study risk SARS-CoV-2 severity strain Symptom temperature tested treated university Ventilated was obtained with COVID-19 [DOI] 10.2196/29514 PMC 바로가기 [Article Type] Original Paper
Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)Observational Study Published on 2021-06-172022-10-04 Journal: Scientific Reports [Category] MERS, SARS, 임상, [키워드] 95% CI Admission Admitted Patient API Apollo Artery AUC chronic clinical Coronary Coronavirus disease 2019 COVID COVID-19 COVID-19 patient determine develop electronic medical records Gradient hazard hazard ratio high risk IMPROVE initial INR laboratory data laboratory parameter Laboratory parameters LDH machine learning management Model Mortality mortality risk outcome outcomes oxygen saturation parameter Patient prediction Probability provide respiratory Risk factors ROC score significantly validation cohort viral infection was collected was performed was selected was used [DOI] 10.1038/s41598-021-92146-7 PMC 바로가기 [Article Type] Observational Study
Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 PatientsCOVID-19 환자의 사망률 예측을 위한 컴퓨터 지능 기반 모델Article Published on 2021-06-142022-09-10 Journal: International Journal of Environmental Research an [Category] MERS, SARS, 치료기술, [키워드] Accuracy Activation Algorithms baseline best Comparative analysis complications confirmed COVID-19 patients country COVID-19 COVID-19 cases COVID-19 outbreak COVID-19 patient decision Decision tree deep deep learning Diagnosis Diseases Early detection effective Experimental result experimental results forest Gradient learning likelihood Logistic regression machine machine learning Model mortality rate predict prediction Random forest Rate reduce reduced Regression severe COVID-19 shown tree was performed [DOI] 10.3390/ijerph18126429 PMC 바로가기 [Article Type] Article
Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision TreesArticle Published on 2021-05-302022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] age ambient Analysis application China Consensus contribute Coronavirus disease 2019 (COVID-19) COVID-19 COVID-19 pandemic decision distress Evidence Factor Factors Gender Gradient Health Health status hospital indicate Kessler psychological distress scale machine learning approach matter measure men moderate objective Perceived Perceived risk physical physical activity predictive power Psychological distress psychological health questionnaire relative importance risk factor Risk factors smoker Sociodemographic factor threshold tree was measured was used were measured women [DOI] 10.3390/ijerph18115879 PMC 바로가기 [Article Type] Article
Non-Contact Monitoring and Classification of Breathing Pattern for the Supervision of People Infected by COVID-19COVID-19 감염자 감독을 위한 비접촉 모니터링 및 호흡 패턴 분류Article Published on 2021-05-032022-09-10 Journal: Sensors (Basel, Switzerland) [Category] SARS, 치료기술, [키워드] Accuracy adopted assist Asthma breathing can not Care characteristic classification coronavirus coronavirus disease coronavirus disease-2019 COVID-19 death rate detect develop difficulty difficulty breathing disorder feature Fever FMCW Frequency Gradient High-resolution machine machine-learning MFCC MONITOR monitoring pandemic Patient patients with COVID-19 pattern Periodic Practitioner real time reason for reduce respiratory respiratory problem respiratory problems rising risk supervision virus vital sign with COVID-19 XGBoost [DOI] 10.3390/s21093172 PMC 바로가기 [Article Type] Article
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and ValidationOriginal Paper Published on 2021-04-192022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Accuracy AdaBoost age Analysis artificial artificial intelligence AUC Blood Blood samples Clinical findings Clinical severity comorbid diseases COVID-19 COVID-19 patient COVID-19 severity death develop development disease severity Dyspnea early stage examination findings extracorporeal membrane oxygenation facial Factor feature Features Gradient hospital Importance information initial invasive ventilation limit lymphocyte medical records Model mortality prediction multi-organ failure nasal National Noninvasive ventilation objective oxygen support Patient physical Platelet predict prediction provided random required Result selected sensitivity severity severity of COVID-19 Shortness of breath South Korea specificity validation variable was performed [DOI] 10.2196/27060 PMC 바로가기 [Article Type] Original Paper
Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parametersResearch Published on 2021-02-182022-10-30 Journal: Journal of Intensive Care [Category] COVID-19, [키워드] 95% CI 95% confidence interval Admission Algorithm applied AUC C reactive protein China Chinese clinical Cohort collected COVID-19 COVID-19 patient COVID-19 patients Critical Critical illness dataset death decision defined develop development discharge disease dysfunction external validation facilitate feature Gradient high risk hospital identify Immune-inflammatory parameters Inflammatory Intensive intensive care interleukin 2 Intervention invasive ventilation lymphocyte machine learning Machine learning algorithms network Neural Occurrence Online model outcome parameter parameters Patient predict Predictive procalcitonin receiving receptor Registered registry Regression reported Result Selection severity Shrinkage supplementary material support vector machine SVM training dataset tree validation cohort [DOI] 10.1186/s40560-021-00531-1 PMC 바로가기 [Article Type] Research
COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic VirusesGenetics Published on 2021-02-112022-10-31 Journal: Frontiers in Genetics [Category] COVID-19, [키워드] Accuracy addition applied coronavirus COVID-19 disease dataset datasets deep learning Dengue determine Discriminant Ebola Efficacy generate genomic information global pandemic Gradient identify K -mer Long long-short term memory MERS-CoV mitigate network Neural novel Other pathogen pathogenic virus Pathogens performed predict Recurrent required SARS-CoV-1 SARS-CoV-2 SARS-CoV-2 sequence sequence Sequence analysis subsequent term test dataset transmission rate Treatment virus virus prediction [DOI] 10.3389/fgene.2021.569120 PMC 바로가기 [Article Type] Genetics