The 35 minute video is technical, related to the Ruby programing language, but the story is good how a man built a logging tool to allow his woman to document her pain level (in the UK well she waited for a knee replacement) via a text message, at the same time his tool logged the atmospheric pressure so that later he could forecast when bad pain days would be.
https://schwad.github.io/ruby/rails/community/2018/10/16/speaking-on-ruby-and-chronic-pain-management-at-sheffield-ruby.htmlI couldn't tell if he built the forecast predictions before her surgery or not but the idea was to remove the uncertainty of if a particular day would be a bad pain day for her or not. At the end he talks about how he is working with others to improve the project and also add temperature to the mix.
This is good use of modern machine learning to help build custom pain forecasts for a specific person based on their own recorded pain levels. He also gets into how objective pain levels are, someone’s 1 might be a 4 to another, and thus having customized data and forecasts makes sense.
Then pain forecast allows someone to know if they should be out and about having fun, or if that day should be an at home day.
I think the video is worth a watch if you feel any of your aches and pains are weather related.