Exploring the Interplay of Dataset Size and Imbalance on CNN Performance in Healthcare: Using X-rays to Identify COVID-19 PatientsArticle Published on 2024-08-082024-09-05 Journal: Diagnostics [Category] update2024, [키워드] classification biases CNN COVID-19 imbalanced data pulmonary disease [DOI] 10.3390/diagnostics14161727 PMC 바로가기 [Article Type] Article
Deep reinforcement learning for multi-class imbalanced training: applications in healthcareArticle Published on 2023-11-282024-09-05 Journal: Machine Learning [Category] update2024, [키워드] imbalanced data imbalanced learning reinforcement learning [DOI] 10.1007/s10994-023-06481-z PMC 바로가기 [Article Type] Article
Individual Factors Associated With COVID-19 Infection: A Machine Learning StudyCOVID-19 감염과 관련된 개별 요인: 기계 학습 연구Article Published on 2022-06-302022-09-11 Journal: Frontiers in Public Health [Category] COVID19(2023년), SARS, 치료기술, [키워드] Accuracy alcohol alcohol consumption Algorithm catastrophic Clinical data COVID-19 COVID-19 infection COVID-19 infections dataset deep learning Diagnosis disease Effect Factor feature Feature selection Health health parameter Health status health system health systems help highest identify imbalanced data individual Infection infections machine machine learning pandemic Patient physical activity Predictive Predictive model Prevent Prognosis provide random Random forest required risk factor ROSE SARS-CoV-2 Sleep smoking Support variable were used with COVID-19 [DOI] 10.3389/fpubh.2022.912099 PMC 바로가기 [Article Type] Article
Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging dataArticle Published on 2022-06-012023-07-06 Journal: Methods (San Diego, Calif.) [Category] COVID19(2023년), [키워드] chest X-ray COVID-19 Deep neural networks imbalanced data Medical imaging transfer learning [DOI] 10.1016/j.ymeth.2021.06.002 PMC 바로가기
Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified MobileNetV2 and LIMEArticle Published on 2021-08-252022-10-31 Journal: International journal for equity in health [Category] COVID-19, [키워드] Accuracy Analysis approach AUC caused chest X-ray CNN Contagion Containment strategy contribute coronavirus COVID-19 COVID-19 patient COVID-19 patients CT scan dataset deep deep learning detection diagnosing Diagnosis driven by effective explain Explainable AI explanation feature global pandemic healthcare high accuracy imbalanced data initial Isolation mixed-data network Neural Novel coronavirus PCR Perspective polymerase chain Radiograph remained researcher Respiratory disease SARS-CoV-2 small data Spread supported the disease Transmission Vaccine widespread X-ray [DOI] 10.3390/healthcare9091099 PMC 바로가기 [Article Type] Article
Detecting SARS-CoV-2 From Chest X-Ray Using Artificial IntelligenceBiomedical Engineering Published on 2021-02-232022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] 95% confidence interval Accuracy artificial artificial intelligence caused Chest radiograph chest X-ray Chest X-ray images CNN Confidence intervals coronavirus coronavirus 2 COVID-19 dataset datasets deep deep learning demonstrated detect diagnose Effectiveness evaluated identify imbalanced data intelligence network Neural patients patients with COVID-19 Pilot test Precision presenting question recall reported respiratory Result SARS-CoV-2 SARS-COV-2 infection small data Still Symptom the disease [DOI] 10.1109/ACCESS.2021.3061621 PMC 바로가기 [Article Type] Biomedical Engineering