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

页数：5

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