When I initially became aware of machine learning, as a thing that may have profound impacts on medicine, and society more broadly, I wanted to learn more - but didn't really know where to start.
The resources that I could find were designed for mathematicians and computer scientists and became very technical very quickly. With time and perseverance, I was able to obtain a reasonable grasp of the concepts, and how they apply to healthcare, but it wasn't easy.
Since then, a number of medical professionals have reached out to me for suggestions on where to start, and I found it unsatisfying not to have a good starting resource to recommend.
That was the initial motivation for me to start running courses and creating resources intended to 'bridge the gap' by providing a less-technical and more healthcare-tailored introduction to machine learning.
However, these also proved popular with people from non-medical backgrounds, such as data scientists and consultants, so I have run monthly one-day courses since July 2019, which are open to people from any background.
Check out these blog posts on a range of topics, including signposting to resources, suggestions for incorporating ML into a medical career, key research paper summaries and commonly-asked questions.
If there are any posts you'd like to see made, drop an email to email@example.com.
Here is a one-hour webinar giving an overview of machine learning and it's application in medicine:
The course provides an excellent overview of Machine Learning for beginners. Each session was prepared really well and delivered at a good and provided enough time for discussions and to ask questions. I would thoroughly recommend this course for anyone who is new to Machine Learning and keen to learn more about it. - August 2019 course attendee
Very condensed and informative. Explained details which an average medical graduate could understand. Inspiring to hear how Chris got involved in ML and currently doing a masters on the topic. - Pradeep, September 2019 attendee
Broad scope, thoughtful planning, informed editing ie relevant and useful - September 2019 attendee
Machine Learning for Healthcare (2nd November 2019, 09:00AM - 4:30PM in London, UK)
Machine Learning for Healthcare (7th September 2019, 09:30AM - 4:00PM in London, UK)
Machine Learning for Healthcare (10th August 2019, 09:30AM - 4:00PM in London, UK)
WEBINAR: Understanding Machine Learning in Medicine: An Introduction (17th July 2019, 7:00PM - 8:00PM (GMT+1)) - Recording available here.
Recurrent neural networks and their medical applications (28th March 2019, 6:30PM - 8:30PM in London, UK)
Convolutional neural networks and their medical applications (14th March 2019, 6:00PM - 8:00PM in London, UK)
Neural Network structure, function and computation (5th March 2019, 6:30PM - 8:30PM in London, UK)
Machine Learning in Medicine: Core Concepts and Case Studies (28th February 2019, 6:00PM - 8:00PM in London, UK)