Andrew Hetherington

Actuary-in-training based in London, UK.

26 Jul 2020

Machine Learning for Neonatal Intensive Care—Audio Version

Click here for the audio version of Machine Learning for Neonatal Intensive Care!

Original written version can be found here.

Machine Learning for Neonatal Intensive Care was one of my favourite articles to write recently—I was able to discover for myself some of the really valuable work that people around the world are doing to improve the standard of hospital care for premature babies.

A lot of the things we do as humans are justified in the service of some kind of higher purpose. But research like this needs no justification—no one needs convincing that it’s a good thing.

I’m keen to explore new media and new ways of sharing and posting content. I listen to a lot of podcasts and really quite enjoy the format. You can listen to a podcast when you’re walking to work. You can listen to a popdcast while you’re doing the washing up. It’s like someone has come along and given you and extra two hours each day to go away and learn something with. It’s great.

Machine Learning for Neonatal Intensive Care was the natural choice for my first foray into the podcast/audio blog world. I found it quite fun to work on this and for a first attempt, I’m happy with how it turned out. I’m keen to learn more about how data and technology is being used to make the world a better place across all of our communities. And I’m definitely looking forward to using the audio blog format to share what I find out.


More info and credits

Andrew Hetherington is an actuary-in-training and data enthusiast based in London, UK.

Images: Infant in incubator by Hush Naidoo.