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Table 3 Description of contributing variables and results of variable reduction post-processing, by data type

From: A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

Data Type Major Variables Number of feature categories Variable reduction from ➔ to
Demographics Marital status, education, gender, language 2 39 ➔ 15
Admissions Total cost of index admission, age at admission, cumulative number of 30-day readmissions, length of stay 2 217 ➔ 53
Diagnoses ICD-9 codes, WKF 4 8101 ➔ 1297
Labs WKF at admission, WKF at discharge 2 94 ➔ 58
Medications RXCUI, Medication name, WKF 7 16,779 ➔ 1107
Procedures ICD-9 codes 1 1833 ➔ 95
Notes Words from: social history, hospital course, hospital reason, allergies 7 7558 ➔ 887
Total   25 34,6213512