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Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: A case study for dementia, mild cognitive impairment, and Alzheimer’s and Parkinson’s diseases

2022-09-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Biases within probabilistic electronic phenotyping algorithms are largely unexplored. In this work, we characterize differences in sub-group performance of phenotyping algorithms for Alzheimer’s Disease and Related Dementias (ADRD) in older adults. <h4>Materials and methods</h4> We created an experimental framework to characterize the performance of probabilistic phenotyping al...

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Literature Corpus work
58f6b482-ae5b-5f36-81c0-eb4f14ca6cc6
DOI
10.1101/2022.09.20.22280172
Open publication

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Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: A case study for dementia, mild cognitive impairment, and Alzheimer’s and Parkinson’s diseasesDOI 10.1101/2022.09.20.22280172
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