I would like to share a story with you. My schoolfriend Richard Chappell is seriously ill in Thailand and needs your help. Richard is a private person, who enjoy travelling and the fact that is asking for charity in his hour of need is literally and figuratively causing him pain and anguish. I have known…
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 the NHS to inform and augment decisions….
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 function to help with this…
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 consequence, 60 different…
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: We have really enjoyed the process and we are in…
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 did we choose…
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 focuses on Stranded Patients and Super Stranded patients – these are…
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: If you are interested in our solutions in healthcare then please contact analytics-support@draperanddash.com. Additionally, we are also…
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 question: I hope you find this…
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. I hope the attached article is useful….
