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Identifying incident dementia by applying machine learning to a very large administrative claims dataset

2018-08-20

Abstract excerpt

<h4>ABSTRACT</h4> <h4>INTRODUCTION</h4> Alzheimer’s disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized that machine-learning algorithms using administrative claims data may represent a novel approach to predicting ADRD. <h4>METHODS...

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Literature Corpus work
20d7018f-452b-5975-b3c2-81d3d13cb6b7
DOI
10.1101/396127
Open publication

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