the_centile_app

DEPRECATED PROJECT

This repository is now deprecated and archived as there is a much better alternative available in the form of the RCPCH Digital Growth Charts API, which can be found at https://growth.rcpch.ac.uk/ or within the RCPCH's GitHub organisation https://github.com/rcpch

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A suite of tools for calculating paediatric growth centiles from LMS statistical tables, including a basic scriptology, REST API, UI elements, supporting documentation

• Centile-js directory contains UK90.js - basic code in javascript which will return a centile, when given age, sex, height, weight as input. As it is currently written there is no command line usage, it would need to be integrated into a webapp or node.js for use. It is left here as a resource of working statistical code for conversion of LMS tables into centiles.

• EWD-based-webapp contains the code and all dependencies for the EWD-based web application

• Mobile-webapp is essentially a fork of the centile_app project with the aim of allowing the calculations to be done in the client device. It's aimed at mobile workers such as hospital doctors.

• PyCentile contains Python scripts for calculating centiles from LMS data + age, sex, height, weight information. There are two different versions, one for use with the UK90 LMS tables and the other for use with the CDC's USA LMS tables.

• IMPORTANT: Essential data contained within this app's repository is COPYRIGHTED and is NOT freely distributable. PLEASE ENSURE YOU READ THE LICENSE DOCUMENT FULLY

Contributors

Dr Marcus Baw (GP, director BawMedical Ltd, director openGPSoC-CIC)

• MRC License application for use of UK90 LMS tables
• Website content & UI (yes my fault)
• API specification and initial documentation
• javascript centile engine
• Twitter: @marcus_baw
• Web: http://www.bawmedical.co.uk

Chris Casey (CPC Computer Solutions)

• API development in EWD/Swagger/node.js
• AWS cloud hosting
• Twitter: @ChrisPCasey

Paul Rubenstein (biomedical statistician)

• statistical advice in plain English
• Python engine for centile lookups

Rob Dyke (director Tactix4, director openGPSoC-CIC )

• N3 hosting
• Twitter: @robdykedotcom
• Web: http://www.tactix4.com

NHSHackDay Google Group contributors (thread: http://goo.gl/r8EiyN)

• feature requests & general support

Acknowledgements

• Professor Tim Cole (https://iris.ucl.ac.uk/iris/browse/profile?upi=TCOLE39) who originally developed the LMS tables.
• the Medical Research Council (http://www.mrc.ac.uk/index.htm), whom are the copyright owners of the UK90 LMS Tables and who very kindly have provided us with a free license to use them for non-profit purposes in an open source app.
• the Centers for Disease Control (http://www.cdc.gov/), who openly publish their LMS tables and formulae (http://www.cdc.gov/growthcharts/percentile_data_files.htm), which gave us an advance test-bed for building the Python centile engine, and gave us some important pointers as to how to do the conversion from measurement to centile.
• with thanks to the Scipy.stats Python library and the JStat JavaScript library.