Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study
A web-based ML prediction tool incorporating multiple clinically relevant variables predicts key clinical outcomes with a high level of discrimination and calibration and has potential in shared decision-making.
Authors
- Lakshmanan Krishnamurti (ORCID: https://orcid.org/0000-0003-3242-0037)
- Michael J. Kane (ORCID: https://orcid.org/0000-0003-1899-6662)
- Rajagopalan Chandrashekar
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- Indian Institute of Technology Madras (IN)
- Yale University (US)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-06-09
- DOI
- https://doi.org/10.2196/64519
- Primary Topic
- Hemoglobinopathies and Related Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00