Viewing Study NCT06196307



Ignite Creation Date: 2024-05-06 @ 7:57 PM
Last Modification Date: 2024-10-26 @ 3:17 PM
Study NCT ID: NCT06196307
Status: RECRUITING
Last Update Posted: 2024-01-09
First Post: 2023-10-27

Brief Title: Early Warning and Classification Model for Acute Non-traumatic Chest Pain
Sponsor: Xiao-nan He
Organization: Beijing Anzhen Hospital

Study Overview

Official Title: A Prospective Study of Acute Nontraumatic Chest Pain - Warning and Classification
Status: RECRUITING
Status Verified Date: 2024-01
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Acute non-traumatic chest pain is one of the common causes of presentation in emergency patients but the causes of acute non-traumatic chest pain are complex the severity of the condition varies greatly and the specificity of symptoms is not high Machine learning and intelligent auxiliary models can greatly shorten the time of clinical decision-making and improve the accuracy of etiological diagnosis in patients with chest pain reduce the rate of misdiagnosis and missed diagnosis and provide a clear direction for further treatment
Detailed Description: Prospective observational studies used outpatient and follow-up information to construct an auxiliary early warning model of acute non-traumatic chest pain based on federated learning and optimized the accuracy of early warning models through retrospective and prospective studies of large cohort data and established an efficient and stable early warning and classification model for acute non-traumatic chest pain

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: True
Is a FDA Regulated Device?: True
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None