Publications by Gary Hutson
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 the NHS to inform and augment decisions. For access to ...
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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 Officer Data Science Resilience & Collaboration in times of unpreced...
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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, undertaken separately in R and Python, and has allowed for...
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Health Data Science Platform has landed – watch the webinar
The Health Data Science Platform has been an endeavour of love. But what is it? Watch our technical team discuss how and why you should be switching to the DSP in your healthcare organisation Introducing the DSP The webinar explains why use the DSP, how to use the DSP and what the DSP does. Under the hood The DSP uses curated machine learning ...
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NHS-R Community – Computer Vision Classification – How it can aid clinicians – Malaria cell case study with R
The NHS-R conference is coming up and I have been invited to speak for the third year running, I know hat trick, as well as becoming an official fellow of the organisation, as I am now back with the NHS. This year I wanted to bring Deep Learning to the table, and my focus will be on how to apply Convolutional Neural Networks to a Kaggle Malaria c...
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NHS-R 2020 Week Long Conference
The NHS-R conference concluded, and I am emotional that it has ended. There were some fantastic speakers and the whole event, from start to finish was a blast. Openers I would like to include everyone on here, but the openers that had an impact for me are included below: Conference opening – the journey so far – Mohammed Amin Mohammed Moham...
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LondonR Talks – Computer Vision Classification – Turning a Kaggle example into a clinical decision making tool
I had the pleasure of speaking at the last LondonR event of 2020. What a strange year it has been? But this put the icing on the cake. The premise The premise of my talk was to take a novel Kaggle parasite cell dataset and advocate how this type of classification task could be transported to other areas such as clinical x-ray scanning, diagnosti...
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Reticulate webinar – R and Python – a happy union
Wednesday (20th January 2021) myself and a colleagues Andreas kicked off the first webinar of 2021 for the NHS-R Community with our look at the benefits of using reticulate for joining up R and Python. What was the webinar about? The webinar was split into two sections: The first session involved me taking the functionality of the reticulate pac...
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R Package Tracking
I have recently uploaded my first R package to the CRAN repository, it needs an additional revision, but it is now there. I wanted to know how many downloads it has had since its release on CRAN last month. I thought shall I write a package, but alas there is one already available. The dlstats package saves the day I was searching on the old Goog...
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ConfusionTableR – a package to tidy outputs of confusion matrix objects for storage in databases and row level structures
I am really excited to announce my beta package and it is now available to download on GitHub. This is my third package I have managed to create. I have many more projects, tutorials and code snippets available on my GitHub site. I hope you find it useful and read below to find out how to install it, work with it and get the most out of it. Ho...
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