Hae Won Kim
Awareness of human papillomavirus and factors associated with intention to obtain HPV vaccination among Korean youth: quasi experimental study
BMC international health and human rights
tools predicting covid19 outcomes enable personalized healthcare potentially easing disease burden collaborative study 15 institutions across europe aimed develop machine learning model predicting risk inhospital mortality postsarscov2 infection blood samples clinical data 1286 covid19 patients collected 2020 2023 across four cohorts europe canada analyzed 2906 long noncoding rnas profiled using targeted sequencing discovery cohort combining three european cohorts 804 patients age long noncoding rna lef1as1 identified predictive features yielding auc 083 95 ci 082084 balanced accuracy 078 95 ci 077079 feedforward neural network classifier validation independent canadian cohort 482 patients showed consistent performance cox regression analysis indicated higher levels lef1as1 correlated reduced mortality risk ageadjusted hazard ratio 054 95 ci 040074 quantitative pcr validated lef1as1s adaptability measured hospital settings demonstrate promising predictive model enhancing covid19 patient management