Ignite Creation Date:
2024-10-26 @ 3:38 PM
Last Modification Date:
2024-10-26 @ 3:38 PM
Study NCT ID:
NCT06570486
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-07-23
Brief Title:
Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors
Status:
RECRUITING
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This experiment is an observational study of cohort By establishing a cohort of patients with head and neck tumors transferred to ICU after surgery investigators compared the prediction effect of AI and the traditional prediction model on whether patients can be transferred to ICU within 24 hours of head and neck tumors First retrospective analysis of patients after head and neck tumor surgery medical records were collected the test results are divided into training group and validation group according to 73 divided into 2 groups according to the patient ICU stay time is greater than 24 hours the prediction model after the ICU duration of head and neck tumor surgery after more than 24 hours At the same time clean the data train the AI with the data and compare the effectiveness of both sides with the ROC After the establishment of prediction model and AI training the patients included in the cohort were evaluated by prediction model and AI immediately after being transferred to the ICU predicting the possibility of transferring out of the ICU within 24 hours
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None