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Trial Title:
Contrast Between Traditional Regression Model and AI in Predicting Prolonged Stay Stay After Head and Neck Tumors
NCT ID:
NCT06570486
Condition:
Head and Neck Cancer
Conditions: Official terms:
Head and Neck Neoplasms
Study type:
Observational [Patient Registry]
Overall status:
Recruiting
Study design:
Time perspective:
Cross-Sectional
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 7:3, 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.
Criteria for eligibility:
Study pop:
Head and neck tumor postoperative patient transferred to icu
Sampling method:
Probability Sample
Criteria:
Inclusion Criteria:
1. Patients after head and neck tumors;
2. older than 18 years.
Exclusion Criteria:
1. Patients transferred to ICU twice after head and neck tumors;
2. Patients with unplanned transfer to the ICU.
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Address:
City:
Guangzhou
Zip:
52100
Country:
China
Status:
Recruiting
Contact:
Last name:
Zhengfei Yang
Phone:
13632370949
Email:
yangzhengfei@vip.163.com
Start date:
March 1, 2024
Completion date:
April 1, 2025
Lead sponsor:
Agency:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Agency class:
Other
Source:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06570486
