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Are the Machine Learning Questions That Keep Practitioners Up at Night?
Currently doing a remote clinical preceptorship, where you get to hear from all these clinicians about the questions that keep them up at night. Machine learning working on health care data is really noisy and confounded by a bunch of different things. The labels we have are also confouned by different things. So if you mis classify a cat or a dog, maybe you insult some one's beloved pet. But if you mis classify some one getting diabetes, that could be really detrimental later on as they contemplate treatment plans.