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NCT06796283

Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm

Completed Last updated 21 February 2025
What this trial tests

trial in Ischemic Stroke in 2,628 participants. Completed in 31 December 2024.

Timeline
26 April 2021
Primary endpoint
4 March 2023
31 December 2024

Quick facts

Lead sponsorSecond Affiliated Hospital of Nanchang University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment2,628
Start date26 April 2021
Primary completion4 March 2023
Estimated completion31 December 2024
Sites1 location across China

Conditions studied

Sponsor

Second Affiliated Hospital of Nanchang University

Who can join

Adults 18 to 85, any sex, with Ischemic Stroke. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this observational study is to construct a recurrence risk prediction model for ischemic stroke within 1, 3, 6, and 12 months using XGBoost combined with Convolutional Neural Network (CNN) algorithm. Method: Follow up was conducted on the study subjects at 1, 3, 6, and 12 months after discharge. Follow up primary outcome: Whether the study subjects experienced recurrent stroke events. Secondary outcome: Improved Rinkin score. Collect information on research subjects: It includes demographic data, physical examination, medical history, imaging images, medication use, scale scores, CYP2C19 genotype test results, laboratory tests, and other complex multidimensional data.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Ischemic Stroke

Currently open trials in the same condition.

Other Second Affiliated Hospital of Nanchang University trials

Trials by the same sponsor.

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Data sources for this page

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