Interpretable Machine Learning for Survival Analysis

arXiv:2403.10250v1 Announce Type: cross
Abstract: With the spread and rapid advancement of black box machine learning models, the field of interpretable machine learning (IML) or explainable artificial intelligence (XAI) has become increasingly important over the last decade. This is particularly relevant for survival analysis, where the adoption of IML techniques promotes transparency, accountability and fairness in sensitive areas, such as clinical decision making processes, the development of targeted therapies, interventions or in other medical or healthcare related contexts. More specifically, …

abstract accountability adoption advancement analysis artificial artificial intelligence arxiv become black box box cs.lg explainable artificial intelligence iml intelligence machine machine learning machine learning models stat.me stat.ml survival transparency type xai