Back to search

Article

Improving ascertainment of suicidal ideation and suicide attempt with natural language processing

2022-02-27

Abstract excerpt

<h4>Methods: </h4> relying on diagnostic codes to identify suicidal ideation and suicide attempt in Electronic Health Records (EHRs) at scale are suboptimal because these phenotypes are heavily under-coded. We propose to improve the ascertainment of suicide phenotypes using natural language processing (NLP). We developed information retrieval methodologies to search over 200 million notes from the Vanderbilt EHR....

Topics

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

Identifiers and source

Literature Corpus work
e802c53d-b48f-51e8-858d-27f337a1a704
DOI
10.1101/2022.02.25.22271532
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.
Improving ascertainment of suicidal ideation and suicide attempt with natural language processingDOI 10.1101/2022.02.25.22271532
Select a neighboring publication to make it the new centre.