Article

Quantitative longitudinal predictions of Alzheimer’s disease by multi-modal predictive learning

2020-06-05

Abstract excerpt

<h4>Background</h4> Quantitatively predicting the progression of Alzheimer’s disease (AD) in an individual on a continuous scale, such as AD assessment scale-cognitive (ADAS-cog) scores, is informative for a personalized approach as opposed to qualitatively classifying the individual into a broad disease category. We hypothesize that multi-modal data and predictive learning models can be employed for longitudinal...

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Literature Corpus work: 7eefc0c7-df02-5b3d-b887-3fbb74e82225
DOI: 10.1101/2020.06.04.133645

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