Machine Learning Approaches To Prognostication In Supportive Care In Cancer

Download or read book Machine Learning Approaches To Prognostication In Supportive Care In Cancer written by Andrew Davies and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING APPROACHES TO PROGNOSTICATION IN SUPPORTIVE CARE IN CANCERIntroductionSurvival prediction is an important aspect of supportive care, and especially palliative care. However, robust survival prediction remains elusive. Machine learning approaches offer the potential to identify novel prognostic indicators, and so to develop more robust prognostic algorithms. Objectives The objective of this feasibility study was to develop a prognostic algorithm using machine learning for testing in a definitive study.Methods 50 patients with advanced cancer and an estimated prognosis of