Article

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

2020-07-02

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>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...

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Literature Corpus work: d7670329-2925-5bae-a3e4-2b0630870444
DOI: 10.21203/rs.3.rs-38213/v1

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