Predictive modeling of suicidal ideation in patients with epilepsy.

ABSTRACT:

Objective

The prevalence of suicide in the United States has seen an increasing trend and is responsible for 1.6% of all mortality nationwide. Although suicide has the potential to broadly impact the entire population, it has a substantially increased prevalence in persons with epilepsy (PWE), despite many of these individuals consistently seeing a health care provider. The goal of this work is to predict the development of suicidal ideation (SI) in PWE using machine learning methodology such that providers can be better prepared to address suicidality at visits where it is likely to be prominent.

Methods

The current study leverages data collected at an epilepsy clinic during patient visits to predict whether an individual will exhibit SI at their next visit. The data used f

SUBMITTER: Nemesure MD 

PROVIDER: S-EPMC10129274 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature