Sign in
Novel Data Analytics Identify Predictors of Quality-of-Life Trajectories in Patients with AML or High-Risk Myeloid Neoplasms
Journal article   Open access  Peer reviewed

Novel Data Analytics Identify Predictors of Quality-of-Life Trajectories in Patients with AML or High-Risk Myeloid Neoplasms

Jordan Gauthier, Bianca Furtuna, Jacopo Mangiavacchi, Shahrzad Gholami, Juan Lavista Ferres, Rahul Dodhia, Amir T. Fathi, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, …
Blood, Vol.140(Supplement 1), pp.5254-5257
2022-11-15
url
https://doi.org/10.1182/blood-2022-165437View
Published (Version of record) Open

Metrics

1 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.79 Molecular & Cell Biology - Physiology
1.79.874 K-ATPase
Web Of Science research areas
Hematology
ESI research areas
Clinical Medicine

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Details