2 papers
cs.CY2026
Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
Krishna Padmanabhan, Minxin Lu, Dai Feng +4
We present a structured review of commonly used Explainable machine learning (XML) methodologies, including global and local interpretability tools such as SHapley Additive exPlana…
cs.LG2024
How Should We Represent History in Interpretable Models of Clinical Policies?
Anton Matsson, Lena Stempfle, Yaochen Rao +3
Modeling policies for sequential clinical decision-making based on observational data is useful for describing treatment practices, standardizing frequent patterns in treatment, an…