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

Affiliations

• ¹ Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, United States.
• ² Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.
• ³ Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
• ⁴ Department of Hematology, Clementino Fraga Filho Univ Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
• ⁵ Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, Centre CIS, Saint-Etienne, France.
• ⁶ Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Division of Systems Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, United States. Electronic address: yannisp@bu.edu.