GRASP uses Shapley values and group L21 regularization to identify fewer, less redundant, and more stable features for medical predictions while matching or exceeding the accuracy of prior methods.
Har- monized us national health and nutrition examination survey 1988-2018 for high throughput exposome-health discovery,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GRASP: group-Shapley feature selection for patients
GRASP uses Shapley values and group L21 regularization to identify fewer, less redundant, and more stable features for medical predictions while matching or exceeding the accuracy of prior methods.