Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study
- DOI
- 10.1016/j.leukres.2024.107437
- Published
- 2024-01
- Container
- Leukemia Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.leukres.2024.107437,
title = {Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study},
author = {Ibrahim Didi and Jean-Marc Alliot and Pierre-Yves Dumas and François Vergez and Suzanne Tavitian and Laëtitia Largeaud and Audrey Bidet and Jean-Baptiste Rieu and Isabelle Luquet and Nicolas Lechevalier and Eric Delabesse and Audrey Sarry and Anne-Charlotte De Grande and Emilie Bérard and Arnaud Pigneux and Christian Récher and David Simoncini and Sarah Bertoli},
year = {2024},
journal = {Leukemia Research},
doi = {10.1016/j.leukres.2024.107437},
url = {https://doi.org/10.1016/j.leukres.2024.107437}
}RIS
TY - JOUR TI - Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study AU - Ibrahim Didi AU - Jean-Marc Alliot AU - Pierre-Yves Dumas AU - François Vergez AU - Suzanne Tavitian AU - Laëtitia Largeaud AU - Audrey Bidet AU - Jean-Baptiste Rieu AU - Isabelle Luquet AU - Nicolas Lechevalier AU - Eric Delabesse AU - Audrey Sarry AU - Anne-Charlotte De Grande AU - Emilie Bérard AU - Arnaud Pigneux AU - Christian Récher AU - David Simoncini AU - Sarah Bertoli PY - 2024 JO - Leukemia Research DO - 10.1016/j.leukres.2024.107437 UR - https://doi.org/10.1016/j.leukres.2024.107437 ER -
APA
Didi, I., Alliot, J., Dumas, P., Vergez, F., Tavitian, S., Largeaud, L., Bidet, A., Rieu, J., Luquet, I., Lechevalier, N., Delabesse, E., Sarry, A., Grande, A. D., Bérard, E., Pigneux, A., Récher, C., Simoncini, D., & Bertoli, S. (2024). Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study. Leukemia Research. https://doi.org/10.1016/j.leukres.2024.107437
Source records
- crossref · retrieved 2026-09-26T20:51:05.488Z