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. 2014 Oct 8;9(10):e109264. doi: 10.1371/journal.pone.0109264

Table 2. Top variables selected by machine learning procedure that increase risk of readmission within 30 days.

Top supportive evidence
Variable class Variable description Log Odds Ratio Log Odds Ratio Standard Error1
Lab Results Lymphocyte % is low 0.0128 0.0027
Patterns of Engagement Patient was admitted in past 6 months 0.0112 0.0031
Lab Results BUN is high 0.0038 0.0012
Lab Results Glucose level random is elevated 0.003 0.0012
Lab Results Monocyte absolute is low 0.0028 0.0012
Other Diagnoses History of nondependent abuse of drugs (ICD9 305.x) 0.0018 0.001
Other Diagnoses History of chronic airway obstruction, not elsewhere classified (ICD9 496.x) 0.0017 0.0008
Other Diagnoses History of gastrointestinal hemorrhage (ICD9 578.x) 0.0014 0.0007
Lab Results AST is elevated 0.0013 0.0006
Other Diagnoses History of cardiomyopathy (ICD9 425.x) 0.001 0.0006
Lab Results Magnesium is low 0.001 0.0006
Lab Results INR is elevated 0.0009 0.0004
Patterns of Engagement Patient has been in isolated room in hospital 0.0009 0.0006
Lab Results BNP is high 0.0007 0.0005

These are variables that receive positive log-odds ratio with the largest magnitude.

1. Obtained from sample standard error for cross-validation odds ratios