Mapping the Bibliometrics Landscape of AI in Medicine: Methodological StudyOriginal Paper Published on 2023-12-082024-09-05 Journal: Journal of Medical Internet Research [Category] update2024, [키워드] AI AI in medicine artificial intelligence latent Dirichlet allocation LDA medical AI taxonomy Python topic modeling Unsupervised machine learning [DOI] 10.2196/45815 PMC 바로가기 [Article Type] Original Paper
Cluster-based analysis of COVID-19 cases using self-organizing map neural network and K-means methods to improve medical decision-makingResearch article Published on 2022-07-052022-10-05 Journal: Informatics in Medicine Unlocked [Category] 변종, [키워드] age Analysis assigned calculated characteristic Classifier Clustering Clusters COVID-19 COVID-19 case COVID-19 patients Davis died distribution Elderly patient Factor group help Hierarchical hospital ICU IMPROVE indicated intensive care Map mean value measure medical service Neural network Patient physician Research selected self Self-organizing map Sex Silhouette Symptom Symptoms the mean the patient Unsupervised machine learning variable [DOI] 10.1016/j.imu.2022.101005 [Article Type] Research article
Efficacy and Safety of Anticoagulation Treatment in COVID-19 Patient Subgroups Identified by Clinical-Based Stratification and Unsupervised Machine Learning: A Matched Cohort StudyMedicine Published on 2021-12-242022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] acute respiratory distress Admission Analysis anticoagulation ARDS association benefit Biomarkers bleeding bleeding event bleeding events characterized circulation clinical clinical feature clinically Cluster Clustering Coagulation Cohort Coronavirus disease 2019 COVID-19 COVID-19 patients Critical Critical case Critically ill Critically ill patient D-dimer level Efficacy elevated excessive inflammation Hospital stay Identified identify In-hospital death incidence Inflammation investigated kidney liver dysfunction machine machine learning analysis major bleeding Matched Mild Mortality multiple organ dysfunction neurologic no increase outcome outcomes Patient patients patients with COVID-19 Probability retrospective cohort study risk Safety severe ARDS Severe case single-center Stratification subgroup subgroup analysis syndrome Tongji Hospital Treatment unsupervised learning Unsupervised machine learning was used Weighting while [DOI] 10.3389/fmed.2021.786414 PMC 바로가기 [Article Type] Medicine
Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge ExtractionArticle Published on 2021-12-172022-10-30 Journal: Journal of Personalized Medicine [Category] COVID-19, [키워드] Analysis applied approach artificial intelligence Associate asymptomatic patient Bayesian information criterion BIC Biomarkers clinical Clinical characteristics Clinical severity clinical symptom clinical variable Cluster Clustering Comorbidity consequence Consequences correlation COVID-19 COVID-19 pandemic dataset death Department died extraction Gaussian mixture models GMM healthcare Hospital admissions hospitalized patient identify infected patient internal knowledge machine learning Medicine methodology Mortality Patient PCA principal component analysis reduction required Scientific community severity severity of COVID-19 Side effects status Symptoms the disease Thessaloniki training dataset university Unsupervised machine learning variety was performed were assessed [DOI] 10.3390/jpm11121380 PMC 바로가기 [Article Type] Article
Concordance of SNP- and allele-based typing workflows in the context of a large-scale international Salmonella Enteritidis outbreak investigationArticle Published on 2020-03-312024-09-06 Journal: Microb Genom [Category] 살모넬라증, [키워드] Epidemiology hierarchical clustering Infectious disease Surveillance Unsupervised machine learning whole-genome sequencing PMC 바로가기