Skip to main content
Log In
More
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
Basket
Search
More
Search for this keyword
Advanced search
Latest content
Archive
Authors
About
Public & Patients
Search for this keyword
Advanced search
Close
More
Main menu
Latest content
Archive
Authors
About
Public & Patients
Log in
More
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
BMJ Journals
You are here
Home
Archive
Volume 29, Issue 1
Predicting surgical department occupancy and patient length of stay in a paediatric hospital setting using machine learning: a pilot study
Email alerts
Article metrics
Article menu
Article
Text
Article
info
Citation
Tools
Share
Rapid Responses
Article
metrics
Alerts
PDF
PDF +
Supplementary
Material
Original research
Predicting surgical department occupancy and patient length of stay in a paediatric hospital setting using machine learning: a pilot study
Online download statistics by month:
Online download statistics by month: September 2022 to February 2023
Abstract
Full
Pdf
Sep 2022
270
275
45
Oct 2022
297
301
17
Nov 2022
173
175
13
Dec 2022
101
104
23
Jan 2023
110
116
16
Feb 2023
89
92
14
Total
1040
1063
128
Read the full text or download the PDF:
Subscribe
Log in
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
PDF