Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study

Ibrahim Didi, Jean-Marc Alliot, Pierre-Yves Dumas, François Vergez, Suzanne Tavitian, Laëtitia Largeaud, Audrey Bidet, Jean-Baptiste Rieu, Isabelle Luquet, Nicolas Lechevalier, Eric Delabesse, Audrey Sarry, Anne-Charlotte De Grande, Emilie Bérard, Arnaud Pigneux, Christian Récher, David Simoncini, Sarah Bertoli

Open source

DOI
10.1016/j.leukres.2024.107437
Published
2024-01
Container
Leukemia Research
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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