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Table 3 Sample characteristics of our dataset

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

Variables

Value

Description

Year

2010–2020

The year of hospital admission

Ward

3BL 3BR 3CL

The name of palliative ward

Age

65 + 

The age of the admitted patient

Sex

0,1 (male = 0, female = 1)

The gender of the admitted patient

 Admission Datea

 

The date admitted to palliative care

 Discharge Datea

 

The date discharged from palliative care

Pre-MFAC

1–8

The modified functional ambulatory category of the patient on admission date

Post-MFAC

Same as above

The modified functional ambulatory category of the patient on discharge date

Pre-EMS

0–20

The elderly mobility scale of the patient on admission date

Post-EMS

Same as above

The elderly mobility scale of the patient on discharge date

Pre-MBI

0–20

The modified Barthel index of the patient on admission date

Post-MBI

Same as above

The modified Barthel index of the patient on discharge date

Cognitive

0–30

The Mini-Mental State Examination or the Montreal Cognitive Assessment 5-min protocol scoreb of the patient during palliative care

Diagnosis

NOF, SUBTOF

The type of fracture (NOF, fracture neck of femur; subTOF, subtrochanteric fracture)

Residence (from)

HOME, OAH, OTHERS, ANHN

The type of residence from which the patient is admitted (HOME, from home; OAH, from old aged home; OTHER, from other sources of residence; ANHN, from Alice Ho Miu Ling Nethersole Hospital)

Residence (to)

HOME, OAH, OTHERS, ANHN

The type of residence to which the patient is discharged

Admit Date

 

The date admitted to acute hospital, usually from an accident

DC Date

 

The date discharged from acute hospital and admitted to palliative care

Acute Hospital

PWH, TWH, NDH, AHNH

The name of the hospital (PWH, Prince of Wales Hospital; TWH, Tung Wah Hospital; NDH, North District Hospital; ANHN, Alice Ho Miu Ling Nethersole Hospital)

Date of surgery

 

The date of surgery

  1. aThe Admission Date and Discharge Date are used to calculate the length of stay
  2. bDue to licensing issues, we changed from MMSE to MoCA5 in the middle of our study