Development of artificial intelligence based model to predict mortality in patients with acute-on-chronic liver failure
Not Applicable
- Conditions
- Health Condition 1: K74- Fibrosis and cirrhosis of liver
- Registration Number
- CTRI/2021/11/038131
- Lead Sponsor
- IHUB Anubhuti IITD Foundation TIH
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Open to Recruitment
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Patients with a confirmed diagnosis of ACLF either by EASL criteria or by APASL criteria
Exclusion Criteria
Patients with HIV infection, pregnant or lactating women, patients having any active malignancy or previous organ-transplantation and those refusing to give a consent will be excluded
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Derivation of AI/ML model for prediction of mortality in ACLF patientsTimepoint: After establishment of clinical and proteomic database, model derivation phase will began in first one and a half year
- Secondary Outcome Measures
Name Time Method Development of web application for AI model deploymentTimepoint: After internal validation of model, a validation cohort will be recruited and for model validation and refinement in next one and a half year