116 citations · 151 across the 6 of their papers we have counts for
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stat.AP2018
Using permutations to assess confounding in machine learning applications for digital health
Elias Chaibub Neto, Abhishek Pratap, Thanneer M Perumal +4
Clinical machine learning applications are often plagued with confounders that can impact the generalizability and predictive performance of the learners. Confounding is especially…
stat.AP2018
Using permutations to detect, quantify and correct for confounding in machine learning predictions
Elias Chaibub Neto
Clinical machine learning applications are often plagued with confounders that are clinically irrelevant, but can still artificially boost the predictive performance of the algorit…