A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography컴퓨터 단층 촬영을 사용하여 2019년 코로나바이러스 질병 식별을 위한 딥 러닝 통합 라디오믹스 모델Article Published on 2021-02-162022-09-01 Journal: Scientific Reports [Category] MERS, 진단, 치료기술, [키워드] 95% CI Algorithm AUC automatically caused Classifier collected community-acquired pneumonia Computed tomography coronavirus disease Coronavirus disease 2019 COVID-19 CT scan CT scans datasets deep learning demonstrated develop diagnostic Early detection feasibility feature global pandemic help internal and external lesion Logistic regression machine learning algorithm outbreak Patient Pneumonia radiologist Radiologists Rapid ROIs selected sensitivity Software specificity viral infection were used with COVID-19 [DOI] 10.1038/s41598-021-83237-6 PMC 바로가기 [Article Type] Article
A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, BrazilArticle Published on 2021-02-082022-10-04 Journal: Scientific Reports [Category] MERS, 바이오마커, 치료법, [키워드] Admission Algorithm Algorithms approach AUROC average Brazil C-reactive protein Computational biology and bioinformatics COVID-19 COVID-19 negative COVID-19 patient critical condition death demographic data Diagnosis disease effective extreme FIVE healthcare highlight hospital ICU IMPROVE intensive care unit Laboratory lymphocyte machine learning machine learning algorithm mechanical ventilation New coronavirus outcome Patient patients positive RT-PCR predict Predictive Predictive medicine Prognosis prognostic random resources risk scale sensitivity specificity survival variable [DOI] 10.1038/s41598-021-82885-y PMC 바로가기 [Article Type] Article
Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learningArticle Published on 2021-02-032022-10-04 Journal: Scientific Reports [Category] MERS, 바이오마커, 임상, [키워드] Accuracy age Analysis ARDS ARDS patient AST AUC biochemical build Care caused China Clinical characteristics Clinical data clinical feature clinical manifestation collected Comorbidity consolidation cough COVID-19 COVID-19 ARDS patient COVID-19 patient COVID-19 patients CRP deep learning-based method develop diagnostic distress Epidemiology Factor Health hypertension indicated Infectious disease LDH lung Lymphocyte count machine learning algorithm mild patient NLR Older Patient predict Predictive medicine Probability Region resources responsible Result Risk factors secondary bacterial infection Sensitivity and specificity severe COVID-19 significantly strongly related susceptible syndrome the median ventilator were used [DOI] 10.1038/s41598-021-82492-x PMC 바로가기 [Article Type] Article
Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomesResearch Article Published on 2020-11-192022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] COVID-19, [키워드] 95% CI 95% confidence interval acute respiratory syndrome Admission Analysis ANN artificial intelligence AUROC benefit can be used complex condition coronavirus COVID-19 Cox model Cox regression Cox regression model creating dataset death deep deep learning develop Electronic health record greater healthcare high accuracy hospital knowledge Laboratory Logistic regression London machine learning machine learning algorithm management Model operator outcome Patient Predictive model profile prognostic prognostic model Prognostication regression analysis resources Result SARS-CoV-2 significantly survival susceptible the patient variety were assessed [DOI] 10.1186/s12911-020-01316-6 PMC 바로가기 [Article Type] Research Article
Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomesResearch Article Published on 2020-11-192022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] Coronavirus, COVID-19, SARS, [키워드] 95% CI 95% confidence interval acute respiratory syndrome Admission Analysis ANN artificial intelligence AUROC benefit can be used complex condition coronavirus COVID-19 Cox model Cox regression Cox regression model creating dataset death deep deep learning develop Electronic health record greater healthcare high accuracy hospital knowledge Laboratory Logistic regression London machine learning machine learning algorithm management Model operator outcome Patient Predictive model profile prognostic prognostic model Prognostication regression analysis resources Result SARS-CoV-2 significantly survival susceptible the patient variety were assessed [DOI] 10.1186/s12911-020-01316-6 PMC 바로가기 [Article Type] Research Article
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 SpreadResearch article Published on 2020-11-172022-10-05 Journal: Patterns [Category] 진단, [키워드] and tested for one domain/problem implemented addition affected Asia classical Comparative Control correlation country COVID-19 Diagnosis diagnostic DSML 2: Proof-of-Concept: Data science output has been formulated Effect Epidemics epidemiological Europe Infection machine machine learning algorithm North America parameter platform quarantine Region South America Spread virus [DOI] 10.1016/j.patter.2020.100145 [Article Type] Research article
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
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signaturesOriginal Article Published on 2020-10-232022-10-31 Journal: European Journal of Nuclear Medicine and Molecular [Category] COVID-19, MERS, SARS, [키워드] AI interpretability China Classifier clinical symptom Cohort collected coronavirus disease 2019 pneumonia COVID-19 CT chest CT sign deep learning Deep Learning Method develop Diagnosis diagnostic Explainable AI external validation feature Features hospital Human LASSO machine learning machine learning algorithm Non-COVID-19 outbreak Patient patients with COVID-19 Pneumonia pneumonia lesion positive Predictive Radiologists Result sensitivity Sensitivity and specificity specificity supplementary material underlie USA Viral pneumonia were used with COVID-19 [DOI] 10.1007/s00259-020-05075-4 PMC 바로가기 [Article Type] Original Article
Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine TestsCell and Developmental Biology Published on 2020-07-312022-10-31 Journal: Frontiers in Cell and Developmental Biology [Category] COVID-19, [키워드] Accuracy Biomarker Biomarkers blood and urine tests build carried caused China contagiousness coronavirus COVID-19 COVID-19 infections COVID-19 patient demonstrated detection develop facilitate feature Final human host investigated involved machine learning machine learning algorithm mechanism Model organ failures outbreak Pneumonia risk screened severe symptoms severity detection significantly SVM Test [DOI] 10.3389/fcell.2020.00683 PMC 바로가기 [Article Type] Cell and Developmental Biology
Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cellsArticle Published on 2018-09-302024-09-09 Journal: J Biophotonics [Category] 말라리아, [키워드] Diagnosis digital holographic microscopy machine learning algorithm malaria PMC 바로가기