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> Our machine learning approach relies on different assumptions—(i) that there was no measurement error for COVID-19 deaths in hospitals and (ii) that a model t
by junofan 6mo ago
> Our machine learning approach relies on different assumptions—(i) that there was no measurement error for COVID-19 deaths in hospitals and (ii) that a model trained on in-hospital deaths is transportable to out-of-hospital settings.
Whether these assumptions are valid is highly debatable given various incentive structures applied in in-hospital settings over the period studied.
- WalterGR 6mo ago> given various incentive structures applied in in-hospital settings over the period studied. My vague memory is that that was disinformation commonly spread by COVID deniers that has been thoroughly debunked. Could you point me to a good source about it being true?