Chengli Wen, Xu Zhang, Yong Li, Wanmeng Xiao, Qinxue Hu, Xianying Lei, Tao Xu, Sicheng Liang, Xiaolan Gao, Chao Zhang, Zehui Yu, Muhan Lü
An interpretable machine learning model for predicting 28-day mortality in patients with sepsis-associated liver injury
PloS one
paper describes nursing students views supervision programme provided second semester education first period nursing practice form open questions 24item questionnaire completed 28 nursing students analysis responses combination factor analysis grounded theory approach based comparative analysis results indicate two specific effects programme personal growth integration knowledge process creating knowledge includes four stages awareness concepts phenomena development language caring development model communication reflection gained effect intervention nursing students reported reflection way bridge gap theory practice views effect supervision showed high values following three factors improved interpersonal skills improved professional skills improved communication skills