| stranded_data {NHSRdatasets} | R Documentation |
Stranded Patient (Patients flagged as having a greater than 7 day LOS) Model
Description
This model is to be used as a machine learning classification model, for supervised learning. The binary outcome is stranded vs not stranded patients.
Usage
data(stranded_data)
Format
Tibble with nine columns (1 x outcome and 8 predictors)
- stranded.label
Outcome variable - whether the patient is stranded or not
- age
Patient age on admission
- care.home.referral
Whether than have been referred from a care home
- medicallysafe
Medically safe for discharge - means the patient is assessed as safe, but has not been discharged yet
- hcop
Indicates whether they have been triaged from a Health Care for Older People specialty
- mental_health_care
Flag to indicate whether they need mental health support and care
- periods_of_previous_care
Count of the number of previous spells of care
- admit_date
Date they were admitted to hospital
- frailty_index
An initial index assessment to say if the patient is frail or not. This is needed for alignment of service provision.
Source
Synthetically generated by Gary Hutson g.hutson@nhs.net, Mar-2021.
Examples
library(magrittr)
library(dplyr)
data("stranded_data")
stranded_data %>%
glimpse()