A hierarchical multilabel graph attention network method to predict the deterioration paths of chronic hepatitis B patientsResearch and Applications Published on 2023-05-152024-09-05 Journal: Journal of the American Medical Informatics Association [Category] update2024, [키워드] chronic hepatitis B patients deep learning deterioration path predictions graph attention network Predictive analytics [DOI] 10.1093/jamia/ocad008 PMC 바로가기 [Article Type] Research and Applications
A hierarchical multilabel graph attention network method to predict the deterioration paths of chronic hepatitis B patientsArticle Published on 2023-04-192023-06-11 Journal: Journal of the American Medical Informatics Associ [Category] B형 간염, [키워드] chronic hepatitis B patients deep learning deterioration path predictions graph attention network predictive analytics. [DOI] 10.1093/jamia/ocad008
Finding Asymptomatic Spreaders in a COVID-19 Transmission Network by Graph Attention NetworksGraph Attention Networks를 통해 COVID-19 전송 네트워크에서 무증상 전파자 찾기Article Published on 2022-07-282022-09-11 Journal: Viruses [Category] COVID19(2023년), SARS, 치료기술, [키워드] approach Asymptomatic asymptomatic infections asymptomatic spreader Attention catch COVID-19 COVID-19 epidemic COVID-19 transmission COVID-19 transmission network dataset Effectiveness Epidemic finding gene sequence generate Genetic graph graph attention network graph context loss function. help individual Infection information Local loss function mutate natural language natural language processing network preventive measure preventive measures principle RNA virus SARS-CoV-2 sequence spreader spreads symptomatic and asymptomatic Transmission virus [DOI] 10.3390/v14081659 PMC 바로가기 [Article Type] Article