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Brain Informatics

Table 2 Characteristics of extracted documents

From: Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing

Document type

All (n = 3036)

Patients with CeVD (n = 360)

Patients without CeVD (n = 2676)

Median number of notes per patient (IQR)

2.0 (1.0–2.0)

2.0 (1.0–2.0)

2.0 (1.0–2.0)

Number of patients with at least 2 types of documents (%)

2774 (91.4)

344 (95.6)

2430 (90.8)

Median word count per note (IQR)

430.0 (310.0–678.0)

434.5 (322.2–723.0)

428.0 (308.0–675.0)

  1. Detailed document types: nursing transfer report—emergency department to inpatient, discharge summary-medical; surgical assessment and history, inpatient consultations, and discharge summary
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