> If the model is trained on data from Colorado, it will underdiagnose Lyme disease in patients from New England (high false negative rate). The only way I know to overcome this problem is to create even larger data sets, but this just isn't possible with data privacy laws.
My understanding is that high dimensionality in the domain is exactly where ML excels (so add location as an input), and that is exactly what a medical diagnosis involves. Perhaps the legislation will get there one day.
My understanding is that high dimensionality in the domain is exactly where ML excels (so add location as an input), and that is exactly what a medical diagnosis involves. Perhaps the legislation will get there one day.