Yixi Zhai, Liqing Chu, Yanlan Liu, Dandan Wang, Yufei Wu
Using deep learning-based artificial intelligence electronic images in improving middle school teachers' literacy
PeerJ. Computer science
although socioeconomic factors important determinants population mortality effect educational level survival patients cancer china unclear study aimed assess whether educational level associated prognosis patients cancer explore mediators association multicentre cohort study included 18251 patients diagnosed cancer may 2013 december 2018 main parameters measured overall survival os allcause mortality relationship educational level allcause mortality assessed using multifactorcorrected cox survival analysis logistic regression used analyze association educational level patientgenerated subjective global assessment pgsga mean age 18251 participants men 9939 544 5737 1166 years multifactorial survival analysis showed patients survived longer increasing education university vs elementary school p p 0001 hr 084 95 ci 077092 differences statistically significant different subgroups potential impact factors included sex age tnm stage pgsga score logistic regression showed significant negative association educational level modifiable factor pgsga secondary vs primary p 0004 hr 090 95 ci 083097 university vs primary p 0001 hr 079 95 ci 071088 educational level significant prognostic factor patients cancer independent known prognostic factors association improved modifying nutritional status