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Validating a Clinical Decision Support Tool for Stratifying Stroke Risk for Dizziness/Vertigo

Dizziness Clinical Trial

Official title:
Validating a Clinical Decision Support Tool for Stratifying Stroke Risk in Patients Presenting With Dizziness to the Emergency Department

Clinical Trial Summary

This study aims to validate a machine learning model that stratifies the risk of stroke in patients who present to the emergency department with dizziness or vertigo.

Clinical Trial Description

This is a cross-sectional, hospital-based study, with no randomization procedure. Over a 21-month period, approximately 600 subjects will be enrolled. The study will assess the risk of stroke in each patient using a machine-learning model. To detect ischemic or hemorrhagic stroke, each patient will undergo a non-contrast brain magnetic resonance imaging study. The predictive performance of the machine-learning model will be evaluated in terms of accuracy, precision, recall, F1 score, and area under the receiver operating characteristics curve. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06010550
Study type Observational
Source Chiayi Christian Hospital
Contact Sheng-Feng Sung, MD, PhD
Phone 886-5-2765041
Email sfsung@cych.org.tw
Status Not yet recruiting
Phase
Start date October 1, 2023
Completion date December 31, 2025
View Details
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