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Leveraging big data for classification of children who stutter from fluent peers

2020-10-29

Abstract excerpt

<h4>Introduction</h4> Large datasets, consisting of hundreds or thousands of subjects, are becoming the new data standard within the neuroimaging community. While big data creates numerous benefits, such as detecting smaller effects, many of these big datasets have focused on non-clinical populations. The heterogeneity of clinical populations makes creating datasets of equal size and quality more challenging. The...

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Literature Corpus work
74a9b1f2-60da-5991-b609-e7bccc59dcb2
DOI
10.1101/2020.10.28.359711
Open publication

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Leveraging big data for classification of children who stutter from fluent peersDOI 10.1101/2020.10.28.359711
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