Exploring the Relationships Between Resilience and News Monitoring with COVID Distress in Health Profession StudentsEmpirical Report Published on 2021-04-292022-10-28 Journal: Academic Psychiatry [Category] Coronavirus, MERS, SARS, [키워드] Analysis Anxiety assistant association Burnout change collected COVID COVID-19 COVID-related stress examined Follow-up Frequency greater Health profession Health Science information Linear regression Medicine monitoring multivariable New News Monitoring Nursing objective Pre-clinical Students profession provided question questionnaire relationship Resilience Result scale School Schools Stress Stressor stressors student survey SVM [DOI] 10.1007/s40596-021-01444-9 PMC 바로가기 [Article Type] Empirical Report
A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United StatesResearch Published on 2021-04-242022-10-28 Journal: BMC Public Health [Category] COVID-19, MERS, SARS, [키워드] Analysis analyzed API change Characteristics Classifier Clustering collected Community COVID-19 COVID-19 case COVID-19 symptom COVID-19 symptoms Critical dataset death early stage early stages Ecological epidemiology filtered FIVE Geospatial analysis global pandemic Infectious diseases initial Interaction linear media outbreak pandemic Predictive reported Result severity social media study period Support SVM the United State user Variation was used [DOI] 10.1186/s12889-021-10827-4 PMC 바로가기 [Article Type] Research
Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoVResearch Note Published on 2021-04-202022-10-27 Journal: BMC Research Notes [Category] COVID-19, [키워드] Amino acid Apriori BLAST Characteristics codon coronavirus decision Decision tree experiment experiments Incubation period initial Machine learning algorithms MERS-CoV NCBI objective outbreak question Result SARS-CoV SARS-CoV-2 SARS-CoV-2 virus sequence shown similarity SVM transmitted tree virus [DOI] 10.1186/s13104-021-05561-4 PMC 바로가기 [Article Type] Research Note
Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoVResearch Note Published on 2021-04-202022-10-27 Journal: BMC Research Notes [Category] Coronavirus, COVID-19, SARS, [키워드] Amino acid Apriori BLAST Characteristics codon coronavirus decision Decision tree experiment experiments Incubation period initial Machine learning algorithms MERS-CoV NCBI objective outbreak question Result SARS-CoV SARS-CoV-2 SARS-CoV-2 virus sequence shown similarity SVM transmitted tree virus [DOI] 10.1186/s13104-021-05561-4 PMC 바로가기 [Article Type] Research Note
Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 PandemicArticle Published on 2021-04-122022-10-29 Journal: International Journal of Environmental Research an [Category] Coronavirus, MERS, SARS, [키워드] Accuracy Applying AUC being BERT bidirectional can be used contribute COVID-19 COVID-19 pandemic deep learning evaluate groups health information identify information linear LSTM machine learning media memory naïve Neural network performed Precision recall reduce stance analysis Support SVM transformer Vaccine Vaccine hesitancy Vaccines [DOI] 10.3390/ijerph18084069 PMC 바로가기 [Article Type] Article
Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach브라질의 COVID-19 테스트 우선 순위 지정을 위한 분류 모델: 기계 학습 접근 방식Original Paper Published on 2021-04-082022-09-10 Journal: Journal of Medical Internet Research [Category] MERS, SARS, 진단, 치료기술, [키워드] Algorithm Algorithms Analysis analyzed applied Applying assist Brazil Brazilian chi-square test classification classification models Comparative analysis controlling coryza cough COVID-19 COVID-19 outbreak COVID-19 test COVID-19 testing criterion Decision tree disorder Dyspnea extreme feature Fever Friedman Gender headache Health highest inefficient Logistic regression machine machine learning medical diagnosis Metrics Model objective olfactory disorder olfactory disorders Patient problem problems random Random forest resources Result social distancing sore throat Statistical tests supervised learning Support support vector machine SVM symptomatic Test test prioritization was used [DOI] 10.2196/27293 PMC 바로가기 [Article Type] Original Paper
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective StudyComputational and Artificial Intelligence Published on 2021-03-192022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] age and gender Algorithm auxiliary Blood routine Chinese Clinical diagnosis clinician conducted coronavirus COVID-19 COVID-19 infection criterion Diagnosis Disease diagnosis effective experiment Factor Factors Feature selection identify identifying Infection machine learning machine learning algorithm Metrics mould performed random severe COVID-19 patient severity slime mould algorithm stability Support support vector machine SVM the patient was used [DOI] 10.1109/ACCESS.2021.3067311 PMC 바로가기 [Article Type] Computational and Artificial Intelligence
Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19Original Article Published on 2021-03-032022-10-29 Journal: JAC-Antimicrobial Resistance [Category] COVID-19, [키워드] Admission Algorithm artificial Bacterial infection Blood calculated characteristic COVD-19 COVID-19 COVID-19 cohort COVID-19 pandemic demographic demonstrated diagnose Diagnosis evaluated hospital hospitalized patient individual Infection Inpatient likelihood London machine learning algorithm Naïve Bayes network Neural Patient patients with COVID-19 PCR positive profile Prospective Result SARS-CoV-2 PCR secondary bacterial infection sensitivity specificity Support support vector machine SVM variable variables [DOI] 10.1093/jacamr/dlab002 PMC 바로가기 [Article Type] Original Article
A novel Covid-19 and pneumonia classification method based on F-transformResearch article Published on 2021-03-012022-10-05 Journal: Chemometrics and Intelligent Laboratory Systems [Category] 치료기술, [키워드] Accuracy Affect applied approach Chest Classifier Corona COVID-19 cubic data set dataset disease feature Features five groups Fuzzy tree generate group introduced iterative linear Local MOST Multi-kernel local binary pattern offered Pneumonia selected Support SVM Texture recognition X-ray image recognition [DOI] 10.1016/j.chemolab.2021.104256 [Article Type] Research article
COVIDC: An expert system to diagnose COVID-19 and predict its severity using chest CT scans: Application in radiologyShort communication Published on 2021-02-232022-10-05 Journal: Informatics in Medicine Unlocked [Category] 진단, 치료기술, [키워드] absence application approach Asymptomatic Chest CT chest CT scan classification algorithm Coronavirus disease 2019 COVID COVID-19 COVID-19 infection COVID-19 severity CT imaging CT scans dataset detect diagnose Diagnosis diagnostic diagnostic test early diagnosis Expert System external validation flu lethal infection Non-invasive pandemic Patient performed predict Python quarantine radiology random respiratory infection SARS-CoV-2 severity significantly SVM Symptom the patient time-consuming Vaccine [DOI] 10.1016/j.imu.2021.100540 [Article Type] Short communication