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AI-Based STroke Risk fActor Classification and Treatment (ABSTRACT) study. | Synapse

February 26, 20260 citations

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AI-Based STroke Risk fActor Classification and Treatment (ABSTRACT) study.

WHWilliam Heseltine-Carp AKAishwarya Kasabe MCMegan Courtman

Key Points

The goal is to create a multimodal stroke prediction model using AI technology.
Develop a data handling protocol compliant with UK ethical standards.
Outline strategies for data pre-processing and model training.
No specific results are provided as this outlines the protocol and methodology.

Abstract

This protocol outlines ABSTRACT Phase I's approach to creating a multimodal stroke prediction model. We detail a data handling protocol compliant with UK ethical governance, along with our strategies for data pre-processing and model training.

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Cite This Study

Heseltine-Carp et al. (Mon,) studied this question.

synapsesocial.com/papers/699f95ba1bc9fecf3dab3d1a https://doi.org/https://doi.org/10.1136/svn-2024-003985