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Table 2 Variable of the dataset

From: Application of machine learning models on predicting the length of hospital stay in fragility fracture patients

Categories

Variables

Demographics

Sex, age

Clinical assessment

Diagnosed type of fracture, Modified Functional Ambulatory Category (MFAC) at admission and before discharge, Elderly Mobility Scale (EMS) at admission and before discharge, Modified Barthel Index (MBI) at admission and before discharge, Cognitive assessment by the Mini-Mental State Examination (MMSE) or the Montreal Cognitive Assessment 5-min protocol score (MoCA5) ** of the patient during palliative care

Characteristics of admission

Destination from where the patient is admitted, Destination of discharge, Date of admission to acute hospital, Date of discharge from acute care to palliative care, Name of acute hospital, Name of palliative ward, Name of palliative hospital

Operation features

Date of surgery, Number of surgeries (if any) received

  1. **Due to licensing issues, we changed from MMSE to MoCA5 in the middle of the study