Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records.
<h4>Background</h4>Self-harm occurring within pregnancy and the postnatal year ("perinatal self-harm") is a clinically important yet under-researched topic. Current research likely under-estimates prevalence due to methodological limitations. Electronic healthcare records (EHRs...
Saved in:
Main Authors: | Karyn Ayre, André Bittar, Joyce Kam, Somain Verma, Louise M Howard, Rina Dutta |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/f45093e9cdef45e788c4e570f1b5cf32 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Generation and evaluation of artificial mental health records for Natural Language Processing
by: Julia Ive, et al.
Published: (2020) -
Harmful algae
Published: (2002) -
First, do no harm: The patient's experience of avoidable suffering as harm
by: Ashley Bauer
Published: (2018) -
Screening for chronic kidney disease: preventing harm or harming the healthy?
by: Maarten W Taal
Published: (2012) -
Social media language of healthcare super-utilizers
by: Sharath Chandra Guntuku, et al.
Published: (2021)