A checklist for papers applying machine learning to healthcare
Overview What did they do? (in simple English) How does this fit into the wider context? What other studies have been done in that specialty? What other studies have been...
Chris Lovejoy
About Me
I'm part of the founding team at Anterior, a Sequoia/NEA-backed start-up building an AI clinical brain. I've been a medical doctor, academic researcher, entrepreneur and AI/ML engineer.
Popular
- Machine Learning for Healthcare video series (50k views)
- The Academic Knowledge Management (AKM) system that 10x'd my research productivity
- The Truth Is In The Title? Video Title Generation as a novel training objective for video summarisation
- AI versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
- I created my own YouTube algorithm (to stop me wasting time) (100k+ views)
- How I became a Data Scientist during COVID (as a Doctor): 5 takeaways from an unconventional career transition
Recent Essays
What is data science and machine learning? And why healthcare?
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: Why is data science useful? What is ...
An Introduction to Neural Networks and Deep Learning
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: How do neural networks work? (with wor...
How does a machine learning model learn?
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It goes into how machine learning models are trained (ie. how they learn)...
Analysing sequential health data such as natural language with deep learning
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: What is sequential data? What are medi...
Analysing image data in healthcare with deep learning
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: Why analyse images? (with use cases) ...
Methods for interpreting and explaining AI models
AI models are inherently difficult to interpret so methods have been developed to support interpretability and explainability. Interpretability can be defined as being able to understand what cause...
Reflections on Full-Time Freelancing
At the end of 2022, I was earning around 10% of my overall income from freelancing projects - now it’s closer to 90%. When I decided to pause on my start-up, I had to decide between looking for a ...
The Busy Person's Guide to Building Technical Data Science Skills (in Six Steps)
Learning data science can change your life. Five years ago, I was working full-time on a salary that paid the bills and not much more. Now, I’ve more than tripled my salary, while having the flexi...
How to apply data science to solve real-world problems - the data science pipeline
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: What does it mean to do data science? ...