Immunology | Infectious Diseases Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME. April 4, 2023
Mechanical Engineering | Prognostic and Health Management (PHM) Prediction of Technical State of Mechanical Systems Based on Interpretive Neural Network Model. February 28, 2023
Explainable AI | Intensive Care Medicine | Predictive Modeling An explainable knowledge distillation method with XGBoost for ICU mortality prediction. December 25, 2022
Climate science | Hydrology | Machine Learning An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation. December 2, 2022
Clinical Informatics | Machine Learning | Ophthalmology Explainable Prediction of Dacryocystitis From Noninvasive Ocular Indicators Using Deep Stacked Network and The Shapley Additive Explanations Approach. August 30, 2022
Data Science | Environmental Science | Water Quality Management Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM. August 12, 2022
Artificial Intelligence in Healthcare | Pulmonology Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP). July 31, 2022
Artificial Intelligence | Bioinformatics | Molecular Biology Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI). April 23, 2022
Epidemiology | Public Health Data-Driven Multiscale Modelling and Analysis of COVID-19 Spatiotemporal Evolution Using Explainable AI. February 21, 2022
Environmental Health | Machine Learning | Public Health Seasonal prediction of daily PM concentrations with interpretable machine learning: a case study of Beijing, China. February 12, 2022
Bioinformatics | Computer Science Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences. January 28, 2022
Health Outcomes Research | Informatics | Machine Learning | Pediatric Transplantation | Pediatrics Machine learning-based prediction of health outcomes in pediatric organ transplantation recipients. June 2, 2021