AIMC Topic: Transplantation, Homologous

Clear Filters Showing 21 to 22 of 22 articles

Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

Blood advances Nov 26, 2019
Acute graft-versus-host disease (aGVHD) is 1 of the critical complications that often occurs following allogeneic hematopoietic stem cell transplantation (HSCT). Thus far, various types of prediction scores have been created using statistical calcula...
Humans Machine Learning Algorithms Prognosis Female Reproducibility of Results Male Models, Theoretical Area Under Curve Graft vs Host Disease Hematopoietic Stem Cell Transplantation Transplantation, Homologous Hematologic Diseases
View on PubMed DOI

A BLSTM with Attention Network for Predicting Acute Myeloid Leukemia Patient's Prognosis using Comprehensive Clinical Parameters.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The prognosis management is crucial for highrisk disease like Acute Myeloid Leukemia (AML) in order to support decisions of clinical treatment. However, the challenges of accurate and consistent forecasting lie in the high variability of the disease ...
Humans Neural Networks, Computer Retrospective Studies Leukemia, Myeloid, Acute Hematopoietic Stem Cell Transplantation Transplantation, Homologous Recurrence
View on PubMed DOI
Popular Topics
Recent Journals