Not expecting a magic bullet solution. Been in the field long enough to know that.
However, any written record of the intelligent ways you mentioned are valuable and worth going through.
One of the reasons it gets asked a lot is because image quality analysis doesn't seem to get enough air time. There are only few papers and sone as old as 2016. They font reflect the trend since 'all you need is attention '
I agree with the other commenter and you. It doesn't make sense to have it as a classification. Especially when one of the labels is so vague and a catch all.
A bit more nuanced case with regression or pattern analysis with correlation between symptoms is more interesting. Secondly, how is your data (you don't have to reveal anything sensitive) ? Can one reliably predict death from it as a simple classification? There can be a few cases where it's super obvious but they are not the most informative ones. It's the grey area where most information can be inferred and delivered to experts / docs.
i_sanitize_my_hands OP t1_jd35963 wrote
Reply to comment by Keiny in [D] Determining quality of training images with some metrics by i_sanitize_my_hands
Oh I didn't think of going down game theory route. Cool, thanks !!