Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study.

ABSTRACT:

Background

Prior suicide attempts are a relatively strong risk factor for future suicide attempts. There is growing interest in using longitudinal electronic health record (EHR) data to derive statistical risk prediction models for future suicide attempts and other suicidal behavior outcomes. However, model performance may be inflated by a largely unrecognized form of "data leakage" during model training: diagnostic codes for suicide attempt outcomes may refer to prior attempts that are also included in the model as predictors.

Objective

We aimed to develop an automated rule for determining when documented suicide attempt diagnostic codes identify distinct suicide attempt events.

Methods

From a large health care system's EHR, we randomly sampled suicide attempt codes

SUBMITTER: Bentley KH 

PROVIDER: S-EPMC10804255 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature