3 ms·
I agree that there is something odd going on in the race study. However, I've seen analogous "discovery" results that don't have this problem. Scientists at
by walnutclosefarm 4y ago
I agree that there is something odd going on in the race study. However, I've seen analogous "discovery" results that don't have this problem. Scientists at my former employer built a model, e.g., that diagnosed asymptomatic heart failure from ECGs. No electrophysiologist in that world-class cardiac medicine unit can do this, but the algorithm clearly perceives the signal. And this was in fact a true "discovery" in that they didn't set out to diagnose heart failure, but rather to "score" ventricular ejection fraction using ECGs. Training the algorithm revealed a signal (a so far unexplained cofactor to reduced ejection fraction) that predicts reduced ejection fraction, and thus heart failure, prior to grossly measurable reduced ejection fraction.
- andi999 4y agoNice. I think this is very interesting, is it published?
- walnutclosefarm 4y agohttps://www.nature.com/articles/s41591-021-01335-4 https://www.nature.com/articles/s41591-021-01335-4
- andi999 4y agoThanks, will read it. The data unavailability is a bit of a bummer.
- coliveira 4y agoAll these "discoveries" suffer from the problem of inconclusive data. As mentioned in another comment, this can be the result of data that is skewed somehow, for example by neighborhood, by the selection of patients, by the technology used, etc. Validating these results is not an easy task, especially when one talks about healthcare data.
- YeGoblynQueenne 4y agoAnd did this discovery generalise to datasets from other hospitals?