Journal of Clinical Chemistry and Laboratory Medicine
Open Access

Department of Business, Macau University of Science and Technology, Macau 999078, China

Publications

• Research Article   
  Construction of Machine Learning and Nomogram-Based Prognostic Models for Elderly Breast Cancer Based on the SEER Database
  Author(s): Rufei Ma*
  
  Background: Breast Cancer (BC) is a common malignant tumor in women worldwide. This study is based on three machine learning (RF, XgBoost and GBM) and nomogram to explore the survival prognosis of positive lymph node logarithmic ratio (LODDS), Lymph Node Ratio (LNR) in elderly BC. Methods: Information on elderly BC from 2010 to 2015 was collected from the SEER database and clinical and pathological information on 23,893 elderly BC patients were included through screening criteria and randomized 7:3 into a training set and a test set. Univariate, multivariate cox regression and LASSO regression analyses were used to determine the prognostic factors, on the basis of which nomogram and machine learning models were constructed. The predictive efficacy of the models was evaluated by c-index and AUC. Results: 14 indicato.. View More»
  

  Abstract PDF