Posted by Gary Hutson

Moving on as Head of Solutions and AI at Draper and Dash

Well, what can I say? It has been a blast over the past year and a half. In my time at the company I have managed to work on a number of fascinating projects, here is a list of just some of them: Data Science Platform – this has been the culmination of lots of machine learning projects, … Continue reading →

D&D’s Data Science Platform (DSP) – making healthcare analytics easier

My current company Draper and Dash have been working on the Healthcare DSP for a number of months and we are now ready to launch. Find out what the HTN had to say: https://www.thehtn.co.uk/2020/09/15/new-health-data-science-platform-launches/ A word from D&D’s Chief Technology … Continue reading →

Advanced Modelling in R with CARET – a focus on supervised machine learning

Yesterday (17th June) I did a session with the NHS-R Community relating to how to use the brilliant CARET package to build, evaluate, train and improve machine learning models. This was an entry level webinar to highlight the possibilities of how supervised machine learning could be used in … Continue reading →

Threading and Caret: Burning your CPU to improve model training speed

When I am doing a Machine Learning project with R it is crucial to save those precious seconds, minutes, hours in model training. To make sure you optimise your CPU and crank up the performance you will need to load in the parallel and doParallel libraries, alongside library(caret). A wrapper … Continue reading →

OddsPlotty – the first official package I have ‘officially’ launched

Motivation for this The background to this package linked to a project I undertook about a year ago. The video relates to the project and the how R really sped up the process. The exam question was to use a regression model to predict admissions and we had to evaluate, as a … Continue reading →

Command Centre amplification with predictive analytics and machine learning

Recently, our team at Draper and Dash have been busy creating an NHS operational command centre. This command centre is different, as it uses a collection and ensemble of cutting edge predictive and machine learning techniques. To read the blog you can access this below: Command Centre … Continue reading →

Getting on the meet-up bandwagon – our first meet up event

My company Draper and Dash have tasked me with organising a wider meet-up event for anyone who is interested in AI / ML in healthcare. This wider working group consists of people from different sectors, however they are interested in how we can apply AI / ML methods in their organisations. Why … Continue reading →

Predictive Solutions Series – Draper & Dash’s Stranded and Super Stranded Patient Module

Lots of exciting things are happening with Draper and Dash at the moment. We have been working with key healthcare partners to design some core predictive machine learning algorithms to enable trusts to more effectively manage their performance, demand and capacity pressures. This series … Continue reading →

Bucketing and highlighting dominant predictors in your ML models

Our company have been at it again. This time from my colleagues and fellow Data Scientist Alfonso Portabales. For this post we look at Draper and Dash’s custom method of highlighting dominant predictors in your machine learning models: Bucketing and highlighting dominant predictors … Continue reading →

Deploying a ML model in R

As a product of a series of training sessions Draper & Dash have been undertaking on Machine Learning using R – a candidate from the course asked “how do you split a model to later be used in a live / production environment?”. This post aims to answer that … Continue reading →

Confusion matrices – evaluating your classification models

As part of my companies commitment to allow our users access to some of our code – we have created a visual way you can assess your accuracy in a confusion matrix. The below was posted on our blog site and shows how to interpret a confusion matrix. Confusion Matrices – … Continue reading →

Machine Learning Training – Draper and Dash Healthcare Predictive Analytics – Summer Discount

There is an offer on with my company Draper & Dash to get a discount on ML training for your organisation. Contact the sales team to find out more about this training opportunity. Plus you get to meet our great data science team at Draper and Dash. The below is me and colleagues in … Continue reading →

RODBC helper function

The number of times I have to connect to SQL and I forget part of the RODBC command to connect to an internal data table. As part of a project I am working on I have been connecting to lots of different sources and became tired of typing lots of lines and repeating the same command. Therefore, … Continue reading →

Outpatient scatter charts: Analysing new and follow up activity with gganimate

I was inspired by my friend John Mackintosh to have a muck around with the fabulous gganimate. I have to say…. I am in love. I can remember coding this into Excel VBA, to get my animations to work on my data, and now R has the potential. John will remind me that it has been … Continue reading →

NHS-R Community: Up the R-evolution

It seems like two seconds ago since I was frantically preparing slides for the first NHS community. Wow – what an experience and kudos to the team @NHS-R Community for arranging it. The full content of the event has been posted: https://nhsrcommunity.com/nhs-r-conference-9-october-2018/. … Continue reading →