Machine learning prediction of STEMI incidence with SHAP interpretation of environmental determinants
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24045-0
Abstract: ST-segment elevation myocardial infarction (STEMI) is a life-threatening cardiovascular event influenced by meteorological conditions and air pollution. Traditional statistical methods often fail to capture the complex, nonlinear relationships between environmental factors and STEMI risk. This… read more here.
Keywords: usepackage; stemi incidence; shap; machine learning ... See more keywords
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning
Sign Up to like & getrecommendations! Published in 2024 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-024-02751-5
Abstract: To construct a highly accurate and interpretable feeding intolerance (FI) risk prediction model for preterm newborns based on machine learning (ML) to assist medical staff in clinical diagnosis. In this study, a sample of 350… read more here.
Keywords: preterm newborns; shap; history; machine ... See more keywords
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
Exploring Acoustic Correlates of Depression and Preliminary Screening Models Using XGBoost and SHAP
Sign Up to like & getrecommendations! Published in 2025 at "Behavioral Sciences"
DOI: 10.3390/bs15121648
Abstract: This exploratory study investigated whether voice-derived acoustic features reflect depressive symptom severity and whether they carry preliminary predictive signal for distinguishing individuals with Major Depressive Disorder (MDD) from healthy controls (HC). Using the publicly available… read more here.
Keywords: acoustic correlates; shap; depression preliminary; exploring acoustic ... 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
Intelligent Decoupling of Hydrological Effects in Han River Cascade Dam System: Spatial Heterogeneity Mechanisms via an LSTM-Attention-SHAP Interpretable Framework
Sign Up to like & getrecommendations! Published in 2025 at "Hydrology"
DOI: 10.3390/hydrology12080217
Abstract: The construction of cascade dam systems profoundly reshapes river hydrological processes, yet the analysis of their spatial heterogeneity effects has long been constrained by the mechanistic deficiencies and interpretability limitations of traditional mechanistic models. Focusing… read more here.
Keywords: spatial heterogeneity; dam; shap; cascade dam ... See more keywords