Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning

Demonstrating a benefit of acute treatment to patients with intracerebral hemorrhage (ICH) requires identifying which patients have a potentially modifiable outcome, where treatment could favorably shift a patient's expected outcome. A decision rule for which patients have a modifiable outcome could improve the targeting of treatments. We sought to determine which patients with ICH have a modifiable outcome.Patients with ICH were prospectively...