Article

Counterfactual prediction of treatment effects on irregular clinical data using Time-Aware G-Transformers

2026-04-02

Abstract excerpt

Selecting an effective treatment relies on accurately anticipating patient’s response to alternative interventions. However, forecasting longitudinal clinical trajectories remains difficult because electronic health records contain heterogeneous, irregularly sampled data over extended time periods. These issues are especially relevant for laboratory measurements, which are central for diagnostics, assessment of th...

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Literature Corpus work: 4c56b521-ba17-5210-8abd-1f1d89c164eb
DOI: 10.64898/2026.04.01.26349920

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