Prediction of deep molecular response in chronic myeloid leukemia using supervised machine learning models

被引：0
|
作者：
Zad, Zahra [1 ,2 ]
Bonecker, Simone [3 ]
Wang, Taiyao [1 ,2 ]
Zalcberg, Ilana [3 ]
Stelzer, Gustavo T. [4 ]
Sabioni, Bruna [5 ]
Gutiyama, Luciana Mayumi [3 ]
Fleck, Julia L. [6 ]
Paschalidis, Ioannis Ch. [1 ,2 ,7 ,8 ]
机构：
[1] Boston Univ, Dept Elect & Comp Engn, Div Syst Engn, Dept Biomed Engn,Fac Comp & Data Sci, Boston, MA 02215 USA
[2] Boston Univ, Hariri Inst Comp & Computat Sci & Engn, Boston, MA 02215 USA
[3] Brazilian Natl Canc Inst INCA, Rio De Janeiro, Brazil
[4] Univ Fed Rio de Janeiro, Inst Med Biochem Leopoldo de Meis, Rio De Janeiro, RJ, Brazil
[5] Univ Fed Rio de Janeiro, Clementino Fraga Filho Univ Hosp, Dept Hematol, Rio De Janeiro, RJ, Brazil
[6] Univ Clermont Auvergne, Ctr CIS, CNRS, Mines St Etienne,UMR LIMOS 6158, St Etienne, France
[7] Boston Univ, Dept Elect & Comp Engn, Dept Biomed Engn, Div Syst Engn, 8 St Marys St, Boston, MA 02215 USA
[8] Boston Univ, Fac Comp & Data Sci, 8 St Marys St, Boston, MA 02215 USA
来源：
LEUKEMIA RESEARCH | 2024年 / 141卷
基金：
美国国家科学基金会; 美国国家卫生研究院;
关键词：
Chronic Myeloid Leukemia (CML); Imatinib (IM); Deep Molecular Response (DMR); Treatment-free remission (TFR); Supervised Machine Learning; IMATINIB; SURVIVAL; CML;
D O I：
10.1016/j.leukres.2024.107502
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
引用
收藏
页数：5
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