In this video, I share a framework for reading machine learning for healthcare papers, so that you can build up understanding and keep up-to-date with the field.

TIMESTAMPS:
0:27 - Overviewing the Paper
1:24 - The Data
3:27 - The Methodology
5:18 - The Performance
6:43 - Drawing Conclusions
7:28 - Building Understanding
8:29 - Papers to get started with

LINKS:
- My Checklist for Reading Papers (PDF): [ Ссылка ]
- Top Medical AI Papers to Read: [ Ссылка ]

MACHINE LEARNING FOR HEALTHCARE SERIES:
1. Course outline + why learn about AI/ML: [ Ссылка ]
2. What is ML and why healthcare?: [ Ссылка ]
3. How does an ML model LEARN?: [ Ссылка ]
4. What happens in a neural network?: [ Ссылка ]
5. What is Deep Learning and how it will change healthcare: [ Ссылка ]
6. How to assess machine learning models: [ Ссылка ]
7. How to ensure positive clinical impact: [ Ссылка ]
8. How to read a machine learning paper (THIS VIDEO): [ Ссылка ]
9. Getting started, next steps and recommended resources: [ Ссылка ]

WHO AM I?
I'm Chris Lovejoy, a data scientist and junior doctor based in London. I make videos about data science/machine learning, medicine, productivity, careers, and anything else that's on my mind.

GET IN TOUCH
Feel free to drop a comment on one of my YouTube videos or follow me on Instagram and send me a DM. If you have a longer question, drop me an email at hi@chrislovejoy.me

CONNECT WITH ME:
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