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arXiv · 2211.05786

Data-Driven Disease Progression Modelling

Neil P. Oxtoby
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Abstract

Intense debate in the Neurology community before 2010 culminated in hypothetical models of Alzheimer's disease progression: a pathophysiological cascade of biomarkers, each dynamic for only a segment of the full disease timeline. Inspired by this, data-driven disease progression modelling emerged from the computer science community with the aim to reconstruct neurodegenerative disease timelines using data from large cohorts of patients, healthy controls, and prodromal/at-risk individuals. This chapter describes selected highlights from the field, with a focus on utility for understanding and forecasting of disease progression.

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Neil P. Oxtoby. 2022-11-01. Data-Driven Disease Progression Modelling. https://arxiv.org/abs/2211.05786

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