An attention model estimates individual treatment benefit probability in survival data by classifying pairwise treated-versus-control comparisons, with censored cases given soft interval-based labels.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data
An attention model estimates individual treatment benefit probability in survival data by classifying pairwise treated-versus-control comparisons, with censored cases given soft interval-based labels.