Article

Improving Predictive Models With Causal Methods – Study Protocol

2025-04-01

Abstract excerpt

<h4>Background</h4> In a previous study, Kowadlo et al. [1] developed algorithms (POP – Patient OPtimizer) to predict outcomes for surgical patients at Austin Health. The POP algorithms predict postoperative complications, kidney failure, and hospital length-of-stay. The findings highlight the potential of risk prediction to improve health outcomes and justify further work to improve performance and generalisabili...

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Literature Corpus work: f358c19b-4beb-5933-a62d-4ad7342b27c6
DOI: 10.1101/2025.03.31.25325004

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