Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients
ConclusionsA machine learning-based prognostic model combining known prognostic factors with treatment- and response-related information showed high accuracy for individualized risk assessment. This model could be used for adjustments of follow-up procedures.
Source: Strahlentherapie und Onkologie - Category: Cancer & Oncology Source Type: research
More News: Cancer & Oncology | Learning | Pathology | Sarcomas | Soft Tissue Sarcoma | Study | Universities & Medical Training