Article

Knowledge-guided Deep Temporal Clustering for Alzheimer’s Disease Subtypes in Completed Clinical Trials

2023-10-13

Abstract excerpt

Alzheimer’s disease (AD) is a multifaceted neurodegenerative disorder with varied patient progression. We aim to test the hypothesis that AD patients can be categorized into subgroups based on differences in progression. We leveraged data from three randomized clinical trials (RCTs) to develop a knowledge-guided, deep temporal clustering (KG-DTC) framework for AD subtyping. This model combined autoencoders for con...

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Literature Corpus work: 358bfbea-77d2-5870-933f-9b5b618bcd98
DOI: 10.1101/2023.10.13.23296985

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