Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods

• Theophilus Gyedu Baidoo ,

  Contributed equally to this work with: Theophilus Gyedu Baidoo, Hansapani Rodrigo

  Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

  Affiliation School of Statistical and Mathematical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

  https://orcid.org/0009-0001-8293-7563

  ⨯
• Hansapani Rodrigo

  Contributed equally to this work with: Theophilus Gyedu Baidoo, Hansapani Rodrigo

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

  * E-mail: hansapani.rodrigo@utrgv.edu (HR)

  Affiliation School of Statistical and Mathematical Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, United States of America

  https://orcid.org/0000-0002-2122-2150

  ⨯