Back to search

Article

Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models

2024-11-19

Abstract excerpt

<h4>Introduction</h4> Accurately predicting Alzheimer’s Disease (AD) progression is useful for clinical care. The 2019 TADPOLE (The Alzheimer’s Disease Prediction Of Longitudinal Evolution) challenge evaluated 92 algorithms from 33 teams worldwide. Unlike typical clinical prediction studies, TADPOLE accommodates (1) variable number of observed timepoints across patients, (2) missing data across modalities and vis...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
def61ee0-0f09-561c-b495-e93d3bce0bcf
DOI
10.1101/2024.11.18.24317513
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction ModelsDOI 10.1101/2024.11.18.24317513
Select a neighboring publication to make it the new centre.