Forecasting Waitlist Trajectories for Patients With Metabolic Dysfunction–Associated Steatohepatitis Cirrhosis: A Neural Network Competing Risk Analysis
A deep learning competing risk analysis can forecast the risks of both death and transplant in patients with MASH on the waitlist, helping to inform clinical decisions by identifying the most impactful covariates for each outcome.
Authors
- Sirisha Rambhatla (ORCID: https://orcid.org/0000-0002-9389-727X)
- Naomi Khaing Than Hlaing
- Gopika Punchhi (ORCID: https://orcid.org/0000-0002-6275-0320)
- Yingji Sun (ORCID: https://orcid.org/0009-0007-5238-5722)
- Mamatha Bhat
- Chang Liu
- Eunice Tan
- Sumeet Asrani
Institutions
- Western University (CA)
- University Health Network (CA)
- University of Waterloo (CA)
- National University of Singapore (SG)
- University of Toronto (CA)
- Baylor University Medical Center (US)
- National University Hospital (SG)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-01-29
- DOI
- https://doi.org/10.2196/68247
- Citations
- 1
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 31.52