A geno-clinical decision model for the diagnosis of myelodysplastic syndromes

The differential diagnosis of myeloid malignancies is challenging and subject to interobserver variability. We used clinical and next-generation sequencing (NGS) data to develop a machine learning model for the diagnosis of myeloid malignancies independent of bone marrow biopsy data based on a 3-ins...

Descripción completa

Detalles Bibliográficos
Autores principales: Radakovich, Nathan, Meggendorfer, Manja, Malcovati, Luca, Hilton, C. Beau, Sekeres, Mikkael A., Shreve, Jacob, Rouphail, Yazan, Walter, Wencke, Hutter, Stephan, Galli, Anna, Pozzi, Sara, Elena, Chiara, Padron, Eric, Savona, Michael R., Gerds, Aaron T., Mukherjee, Sudipto, Nagata, Yasunobu, Komrokji, Rami S., Jha, Babal K., Haferlach, Claudia, Maciejewski, Jaroslaw P., Haferlach, Torsten, Nazha, Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2021
Materias:
Myeloid Neoplasia
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579270/
https://www.ncbi.nlm.nih.gov/pubmed/34592765
http://dx.doi.org/10.1182/bloodadvances.2021004755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579270/
https://www.ncbi.nlm.nih.gov/pubmed/34592765
http://dx.doi.org/10.1182/bloodadvances.2021004755

Ejemplares similares