Ignite Creation Date:
2024-10-26 @ 3:40 PM
Last Modification Date:
2024-10-26 @ 3:40 PM
Study NCT ID:
NCT06596798
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
None
First Post:
2024-09-08
Brief Title:
Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Research on the Risk Warning Model and Prevention Strategies for Acute Kidney Injury Associated With Tacrolimus Based on Explainable Deep Neural Networks and Therapeutic Drug Monitoring
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-09
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:
In this study the investigators aim to develop a risk prediction model for acute kidney injury AKI in hospitalized patients using the calcineurin inhibitor tacrolimus This will be achieved by mining electronic medical record data and employing explainable deep learning methods The model will provide clinical decision support for timely intervention and treatment Compared to traditional machine learning models deep neural networks can extract more nuanced features from complex medical data and perform more precise pattern recognition thereby enhancing prediction accuracy and reliability By constructing a predictive tool based on explainable deep learning models the investigators will better assess the association between the use of calcineurin inhibitors and AKI explore targeted prevention strategies and offer more precise predictions and intervention guidance to clinicians Additionally this research has significant socio-economic benefits and application potential By reducing the incidence of AKI the investigators can lower patient hospitalization duration and re-treatment costs conserve medical resources and improve patient quality of life Preventive healthcare not only alleviates the physical and psychological burden on patients but also reduces the strain on the healthcare system enhances healthcare efficiency and promotes the rational allocation of medical resources
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