Back to search

Article

Explainable SHAP space fall risk profiling from electronic health records for tailored inpatient prevention

2026-04-26

Abstract excerpt

<title>Abstract</title> <p>Falls are common, costly, and heterogeneous, which limits the effectiveness of one-size-fits-all prevention strategies. In a retrospective observational study using electronic health record data from a large German university hospital between 2016 and 2022, we trained an ensemble model to predict inpatient falls. We then derived patient-level SHapley Additive Explanations and clustered...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f352efa9-b334-5200-b75e-bf7cc091456f
DOI
10.21203/rs.3.rs-9312593/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Explainable SHAP space fall risk profiling from electronic health records for tailored inpatient preventionDOI 10.21203/rs.3.rs-9312593/v1
Select a neighboring publication to make it the new centre.