Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques.

Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques.

This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify the most suitable factors in assessing the surviva...

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Bibliographic Details
Main Authors: Keyvan Karami, Mahboubeh Akbari, Mohammad-Taher Moradi, Bijan Soleymani, Hossein Fallahi
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/fd77825e3e4741b6aa5d9b0b2418aa8a
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