Machine learning-based prediction of breast cancer growth rate in vivo

HIGHLIGHTS

• who: Shristi Bhattarai from the DepartmentState University, Atlanta, GA, USA have published the Article: Machine learning-based prediction of breast cancer growth rate in vivo, in the Journal: (JOURNAL) of 13/02/2019
• what: The authors evaluated the ability of individual clinicopathological variables to serve as potential surrogate features and discriminate between the fast-growing and slowgrowing tumour subgroups of the study cohort (p-values for mean difference between the subgroups is shown in Table S4). The study has yielded several key insights into features and the prognostic significance of the rate of tumour growth . . .
  

   

  

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