RAMA: implementing Machine Learning to develop mortality risk prediction models for NICU patients with Acute Kidney Injury
RAMA utilizes a tree-based decision-making algorithm, allowing it to determine the risk of mortality in neonates susceptible to AKI.
Authors
- Gopal Agrawal (ORCID: https://orcid.org/0000-0001-7835-9724)
- Aadi Pandya
- S. Sethi
- Sanjay Wazir
- Rupesh Raina
- Maximilian Dawson
- Arnav Vyas
- Taahir Shaikh
Institutions
- Akron Children's Hospital (US)
- Medanta The Medicity (IN)
- University Radiology (US)
- Cloudnine (IN)
- Cleveland Clinic Akron General (US)
- Northeast Ohio Medical University (US)
Publication Details
- Journal
- The Journal of Maternal-Fetal & Neonatal Medicine
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1080/14767058.2026.2623378
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00