Ignite Creation Date:
2024-05-06 @ 3:50 PM
Last Modification Date:
2024-10-26 @ 1:58 PM
Study NCT ID:
NCT04776070
Status:
COMPLETED
Last Update Posted:
2023-03-29
First Post:
2021-02-25
Brief Title:
Establishing Malnutrition Diagnosis System by Using Artificial-intelligence Technology
Sponsor:
Peking Union Medical College Hospital
Organization:
Peking Union Medical College Hospital
Study Overview
Official Title:
Establishing Malnutrition Diagnosis System by Using Artificial-intelligence Technology to Improve the Application of Clinical Pathway
Status:
COMPLETED
Status Verified Date:
2021-02
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:
The prevalence of malnutrition is estimated at 30-50 of hospitalized patients in China Disease-related malnutrition increases the risk of infection mortality length of hospitalization as well as the economic burden National Nutrition Plan proposed to reduce malnutrition but a clear effective roadmap and protocol has not existed yet Several factors impede to resolve the above challenges They include 1 the low efficiency of current malnutrition diagnosis methods 2 the lack of dynamic standard method that can evaluate nutritional status in quantitative way To this end the investigators aim to establish an artificial-intelligence malnutrition diagnosis system to improve the application of malnutrition Clinical Pathway Firstly the investigators will establish a multidimensional malnutrition large data set based on our previously built national hospital nutrition screening data set
It will contain deep 3D facial images semi-structured and structured electronic medical record Then the investigators will use ensemble learning algorithm to establish a fully automatic artificial-intelligence malnutrition diagnosis model that includes both etiological and phenotypic diagnosis
It will contain deep 3D facial images semi-structured and structured electronic medical record Then the investigators will use ensemble learning algorithm to establish a fully automatic artificial-intelligence malnutrition diagnosis model that includes both etiological and phenotypic diagnosis
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None