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I wonder this too, and they could get a pretty solid answer if they incorporated transgender folks’ data into the set since they’re actively keeping their hormo
by cassonmars 5y ago
I wonder this too, and they could get a pretty solid answer if they incorporated transgender folks’ data into the set since they’re actively keeping their hormones in the desired ranges of their gender identity.
- esyir 5y agoGenerally you'd start with the common, easier problem before you delve into the abnormal cases. There are probably better ways to do that, like looking at bloodwork.
- lukeschlather 5y agoThat's fine for training, but for testing the model delving into abnormal cases seems required. If there's noticeable difference on abnormal cases that gives a lot of insight into what your model is actually testing.
- cassonmars 5y agoAll observations about the use of the term “abnormal” aside, I agree the idea of specifically isolating the hormone variable by using groups of people who naturally fit that range and groups of people that use medication to mirror that range would at least indicate whether this classifier is picking up on sexual dimorphism or vascular effects from hormonal differences (which also would potentially impact not only transgender people, but intersex people — who make up around 3% of the population)