Importance of variables from different time frames for predicting self-harm using health system data.

ABSTRACT:

Objective

Self-harm risk prediction models developed using health system data (electronic health records and insurance claims information) often use patient information from up to several years prior to the index visit when the prediction is made. Measurements from some time periods may not be available for all patients. Using the framework of algorithm-agnostic variable importance, we study the predictive potential of variables corresponding to different time horizons prior to the index visit and demonstrate the application of variable importance techniques in the biomedical informatics setting.

Materials and methods

We use variable importance to quantify the potential of recent (up to three months before the index visit) and distant (more than one year before the index vis

SUBMITTER: Wolock CJ 

PROVIDER: S-EPMC11451820 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature