This paper is in the following e-collection/theme issue:

Applications of AI (241) Immunology, Allergy, Rheumatology (133) Decision Support for Health Professionals (1465) Machine Learning (1960) Tools, Programs and Algorithms (357) Artificial Intelligence in Surgery and Perioperative Medicine (41) Outcomes Research in Perioperative Medicine (34)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64519, first published .
Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Authors of this article:

Rajagopal Subramaniam Chandrasekar1, 2 Author Orcid Image ;   Michael Kane3 Author Orcid Image ;   Lakshmanan Krishnamurti1 Author Orcid Image
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Rajagopal Subramaniam Chandrasekar   1, 2 , MTech ;   Michael Kane   3 , PhD, MA, MS ;   Lakshmanan Krishnamurti   1 , MD

1 Section of Pediatric Hematology/Oncology/BMT, Yale School of Medicine, New Haven, CT, United States

2 School of Data Science and AI, Indian Institute of Technology, Madras, Chennai, India

3 Department of Lymphoma-Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

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