A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility DataComputers and information processing Published on 2021-01-112022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] ADASYN Algorithm Analysis applied approach Bayesian Bayesian optimization build can be used classification Classifier clinically COVID COVID patient COVID-19 COVID-19 patient dataset demonstrated detection Efficacy Efficiency facility feature framework Gradient highest Inpatient inpatient's facility data less machine learning nine novel operable pandemic problems provide random required Support transmitted virus [DOI] 10.1109/ACCESS.2021.3050852 PMC 바로가기 [Article Type] Computers and information processing
Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and ValidationOriginal Paper Published on 2020-11-112022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, [키워드] actual risk addition Additive administer albumin Algorithm Algorithms Analysis assessment AUC calculator can be used characteristic Conventional Correlation analysis COVID-19 COVID-19 prognosis creatinine cross database death death prediction model development eosinophil explanation Factor Factor analysis Gradient high mortality rate Hill ICU ICU patient ICU Patients intensive care intensive care unit Interpretation lactate dehydrogenase LIME Logistic regression lymphocyte machine learning machine learning algorithm machine learning model Model Mortality neutrophil objective outcome patients with COVID-19 performed potential risk predict predicted Prognosis prognosis of patient Prothrombin time randomly divided recorded reliability Result risk risk factor risk of death selected SHAP Significance stability total bilirubin training data translated Treatment validation was measured were used with COVID-19 [DOI] 10.2196/23128 PMC 바로가기 [Article Type] Original Paper
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and ValidationOriginal Paper Published on 2020-11-062022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Acute kidney injury Admission age baseline C-reactive protein characteristic Characteristics Classifier clinical informatics clinically Cohort Course COVID-19 COVID-19 pandemic Critical develop development driver effective EHR EHR data Electronic health record elevated event external validation FIVE Gradient High-risk patients hospital hyperglycemia identify in-hospital mortality LDH machine learning machine learning model Model Mortality Mount Sinai New York New York City objective outcomes Patient patients with COVID-19 performance performed positive predict predicted prediction resource responsible Result single hospital study population System tachypnea tested the patient trend TRIPOD validation variable [DOI] 10.2196/24018 PMC 바로가기 [Article Type] Original Paper
Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approachResearch Article Published on 2020-10-282022-10-28 Journal: PLoS ONE [Category] COVID-19, MERS, SARS, [키워드] Algorithm applied approach attribute coronavirus country COVID-19 cross death decision demographic data Gradient group growth high risk information International knowledge machine learning machine learning approach Mortality mortality risks pandemic predicted problem produced producing risk risk of transmission support vector machine Transmission tree [DOI] 10.1371/journal.pone.0241332 PMC 바로가기 [Article Type] Research Article
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19Article Published on 2020-10-062022-10-04 Journal: Nature Communications [Category] MERS, SARS, 임상, 치료법, [키워드] Admission AUC Clinical data cohorts coronavirus disease COVID-19 COVID-19 crisis COVID-19 patients death decision Deterioration external validation facilitate Gradient Health health system high risk machine machine learning mitigate Mortality mortality risk network Neural pandemic Patient patients with COVID-19 physiological Prognostic markers Regression resource Risk factors Stratification support vector machine tree validation cohort viral infection [DOI] 10.1038/s41467-020-18684-2 PMC 바로가기 [Article Type] Article
Association Between Population Mobility Reductions and New COVID-19 Diagnoses in the United States Along the Urban–Rural Gradient, February–April, 2020Multimedia Published on 2020-10-012022-10-29 Journal: Preventing Chronic Disease [Category] Coronavirus, MERS, SARS, [키워드] COVID-19 Gradient Mobility New Population reduction the United State [DOI] 10.5888/pcd17.200241 PMC 바로가기 [Article Type] Multimedia
Digital Health Equity and COVID-19: The Innovation Curve Cannot Reinforce the Social Gradient of HealthViewpoint Published on 2020-06-022022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, SARS, [키워드] approach can be used Care consequence contribute coronavirus disease COVID-19 Curve develop Digital Digital determinants of health Digital health Digital health equity eHealth equity Factor Factors framework Gradient Health Health Service Infection Innovation lack maintain outcomes pandemic poverty provided public health scaled social social distancing virtual health [DOI] 10.2196/19361 PMC 바로가기 [Article Type] Viewpoint
No Place Like Home: Cross-National Data Analysis of the Efficacy of Social Distancing During the COVID-19 PandemicOriginal Paper Published on 2020-05-282022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] absence addition Apple approach calculated changes in complex conducted Control coronavirus disease country Course COVID-19 data set disease disease spread effective intervention Effectiveness Epidemics European explain Factor Frame Google Gradient infections Intervention less Like machine learning Measures objective pandemic parameters prevention public health reduce reduction in regression analysis reported Result resulting social distancing Social distancing measure social distancing measures Spread spread of COVID-19 Support the disease These data transmission rate transmission rates Variation while [DOI] 10.2196/19862 PMC 바로가기 [Article Type] Original Paper
The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models혼합 모형에서 랜덤 효과 분포의 탐색적 적합성 평가로서의 기울기 함수journal-article Published on 2013-07-012024-08-01 Journal: Biostatistics [Category] 백선증, [키워드] Directional derivative Gradient latent variables mixed models Random effects Random-effects distribution. [DOI] 10.1093/biostatistics/kxs059 [Article Type] journal-article