Classification treesA possible method for iso‐resource grouping in intensive care

摘要: Classification and grouping of clinical data into defined categories or hierarchies is difficult in intensive care practice. Diagnosis-related groups are used to categorise patients on the basis diagnosis. However, this approach may not be applicable where there wide heterogeneity within diagnostic groups. tree analysis uses selected independent variables group according a dependent variable way that reduces variation. In study, influence three easily identified patient attributes their length unit stay was explored using classification analysis. Two thousand five hundred forty-five critically ill from hospitals were classified so variation each minimised. 23 out 39 terminal groups, interquartile range < = 3 days.