COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsResearch article Published on 2022-06-012022-10-05 Journal: Computers in biology and medicine [Category] 바이오마커, [키워드] Algorithm ANOVA AUC automatically can be used characteristic Classifier classifiers clinical setting Combination COVID-19 COVID-19 patients dataset datasets evaluated feature Features forest heterogeneous highest intensity lung machine learning Patient performed positive Positive test predictive power Prognosis prognostic Radiomics relief reported Result robust RT-PCR sensitivity Sensitivity and specificity Seven specificity splitting statistically significant test dataset X-ray CT [DOI] 10.1016/j.compbiomed.2022.105467 [Article Type] Research article
A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images흉부 엑스레이 이미지를 사용하여 COVID-19 및 비-COVID-19 폐렴 분류를 위한 방사성 부스트 딥 러닝 모델Article Published on 2022-05-012022-09-11 Journal: Medical physics [Category] COVID19(2023년), SARS, 치료기술, [키워드] Accuracy Analysis approach assigned AUC Chest chest X-ray Chest X-ray images COVID-19 COVID-19 pandemic deep learning demonstrated develop evaluated feature healthy highest implementation Inclusion input investigated network architecture Non-COVID-19 Pneumonia Radiomics random assignment reduced reduction robustness ROC ROC AUC ROC Curve ROC curves selected sensitivity specificity suggested Variation X-ray [DOI] 10.1002/mp.15582 PMC 바로가기 [Article Type] Article
Impact of Age and Sex on COVID-19 Severity Assessed From Radiologic and Clinical FindingsOriginal Research Published on 2022-02-252023-06-16 Journal: Frontiers in Cellular and Infection Microbiology [Category] COVID19(2023년), MERS, SARS, [키워드] age COVID-19 machine learning Radiomics risk stratification severity Sex Viral pneumonia [DOI] 10.3389/fcimb.2021.777070 PMC 바로가기 [Article Type] Original Research
CT-based radiomic nomogram for predicting the severity of patients with COVID-19COVID-19 환자의 중증도를 예측하기 위한 CT 기반 방사선 노모그램Research Published on 2022-01-252022-09-12 Journal: European Journal of Medical Research [Category] SARS, 진단, [키워드] application AUC Chest CT images clinical condition clinically Cohort Comorbidity coronavirus disease COVID-19 decision curve analysis demonstrated determine develop enrolled feature identify Logistic regression analysis management operator pandemic Patient patients with COVID-19 Predictive Prognosis Radiomics Result SARS-CoV-2 selected severe COVID-19 severity severity of COVID-19 significantly the patient Treatment validation cohort validation cohorts was used WBC X-ray computed tomography [DOI] 10.1186/s40001-022-00634-x PMC 바로가기 [Article Type] Research
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest RadiographyDigital Health Published on 2022-01-172022-10-31 Journal: Frontiers in Digital Health [Category] COVID-19, [키워드] Accuracy Additive applied approach Chest chest X-ray Chest X-ray image classification coronavirus COVID-19 defined Diagnosis explainable models explanation extraction feature Features forest lung machine learning Non-COVID-19 Pneumonia Radiographic Radiography radiological radiological findings Radiomics random recursive feature elimination reverse transcription-PCR RT-PCR sensitivity SHAP x-rays zone [DOI] 10.3389/fdgth.2021.662343 PMC 바로가기 [Article Type] Digital Health
Pulmonary lesion subtypes recognition of COVID-19 from radiomics data with three-dimensional texture characterization in computed tomography images컴퓨터 단층 촬영 이미지에서 3 차원 텍스처 특성을 가진 방사선 데이터에서 Covid-19의 폐 병변 하위 유형 인식Research Published on 2021-12-052022-09-10 Journal: BioMedical Engineering OnLine [Category] SARS, 치료기술, [키워드] (Computed Tomography (Random Forest 3D texture feature Accuracy adaptive aggregate Algorithm annotation applied approach auxiliary changes in classification Classifier clinician Computed tomography CORD COVID-19 COVID-19 disease COVID-19 patient Critical dataset detect Diagnosis Diagnostic method experimental results Express feature Features GGO global healthcare ground-glass opacity help Hybrid adaptive feature selection identify identifying information initial lesion Lesion subtypes lesions Patient PCR test predict pulmonary Radiologists Radiomics random Random forest recall Research Result selected severity of COVID-19 shape subtype Subtypes traditional method traditional methods Treatment Volume [DOI] 10.1186/s12938-021-00961-w PMC 바로가기 [Article Type] Research
Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional StudyArticle Published on 2021-09-302022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Analysis analyzed approach artificial intelligence center characteristic Chest Clinical outcome computational modeling coronavirus disease COVID-19 COVID-19 pandemic COVID-19 patient CXR deep deep learning demonstrated evaluated feature IMPROVE Inclusion information instance Interpretation introduced learning machine learning machine learning classifier Mechanical mechanical ventilation Mortality patients predict prognostic Radiography Radiomics random resource Retrospective study sensitivity Severity Score severity scores specificity treated university [DOI] 10.3390/diagnostics11101812 PMC 바로가기 [Article Type] Article
CT-Based Radiomics Helps to Predict Residual Lung Lesions in COVID-19 Patients at Three Months after DischargeArticle Published on 2021-09-302022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Admission AUC build characteristic Chest CT image Combination coronavirus disease COVID-19 COVID-19 confirmed patient develop different time point discharge Effect Efficacy enrolled evaluate feature Follow-up help hospital Hospital admission lesion lung lung lesion lung lesions Month Patient Predictive Psychological Radiomics Randomly reduce Region residual residual lesion sensitivity specificity survivor Survivors tomography were used X-ray computed [DOI] 10.3390/diagnostics11101814 PMC 바로가기 [Article Type] Article
Elaboration of a Radiomics Strategy for the Prediction of the Re-positive Cases in the Discharged Patients With COVID-19Medicine Published on 2021-09-162022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] Accuracy Administered Admission Algorithm average age Chest CT China Chongqing clinical factor clinical feature collected Computed tomography COVID-19 COVID-19 case COVID-19 patient Critical database determine discharge discharged eligible patient enrolled Enrollment feature female IMPROVE Isolation male material Nasopharyngeal swab Patient Precision prediction Predictive protocols Radiomics re-positive cases recovered COVID-19 patient recursive feature elimination required RT-PCR test SARS-CoV-2 test selected shown significant differences Strategy student subset Support t -test the SARS-CoV-2 Three Gorge were used [DOI] 10.3389/fmed.2021.730441 PMC 바로가기 [Article Type] Medicine
Artificial intelligence for hepatitis evaluationReview Published on 2021-09-142023-05-31 Journal: World journal of gastroenterology [Category] A형 간염, Fulltext, [키워드] deep learning fibrosis Hepatitis Hepatocellular carcinoma machine learning Radiomics [DOI] 10.3748/wjg.v27.i34.5715 PMC 바로가기 [Article Type] Review