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Table 2 Data volume for the three clinical trials: number of patients treated by the department during the recruitment period, number of patients included, number of attributes documented for all these patients and the fraction of attributes with a documented value for each patient

From: Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data

Trial Patients treated Patients included Number of attributes [n]/Valued cells [%] (target variable, age, gender + no. of codes) Patients without any
  [n] [n] [%] No aggregation Category-level aggregation Block-level aggregation Diagnosis Procedure
A 511 361 70.6 3,689/0.7 1,031/1.9 280/5.6 3 6
B 8,170 320 3.9 11,773/0.3 1,627/1.6 305/6.6 6 215
C 5,573 87 1.6 10,336/0.4 1,494/2.1 297/8.1 8 0
  1. Each different diagnosis and procedure code was treated as an independent patient attribute.