Neural Additive Deep Clustering Survival Machines: An Interpretable Approach for Alzheimer's Disease and Related Dementias

Abstract

Background: In Alzheimer's Disease research, identifying brain regions that influence disease progression is crucial for understanding pathogenesis and developing targeted therapies. Deep learning models have advanced survival analysis in Alzheimer's Disease research, but their “black box” nature limits clinical utility.

The paper