Ultrasound-based radiomics XGBoost model to assess the risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual application of SHAP
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.897596
Abstract: Objectives A radiomics-based explainable eXtreme Gradient Boosting (XGBoost) model was developed to predict central cervical lymph node metastasis (CCLNM) in patients with papillary thyroid carcinoma (PTC), including positive and negative effects. Methods A total of… read more here.
Keywords: xgboost model; lymph node; shap; central cervical ... See more keywords
Machine Learning for Data Center Optimizations: Feature Selection Using Shapley Additive exPlanation (SHAP)
Sign Up to like & getrecommendations! Published in 2023 at "Future Internet"
DOI: 10.3390/fi15030088
Abstract: The need for artificial intelligence (AI) and machine learning (ML) models to optimize data center (DC) operations increases as the volume of operations management data upsurges tremendously. These strategies can assist operators in better understanding… read more here.
Keywords: shap; shapley additive; machine learning; additive explanation ... See more keywords