Engaging with whānau to improve coronial investigations into rangatahi suicide

Autor: Clive Aspin, Fabiane Bueno Ormerod, André Bittar, Irie Schimanski, Gabrielle Jenkin

Publikováno v: Kōtuitui, Vol 19, Iss 3, Pp 315-334 (2024)

This article reports the findings of two studies of the Aotearoa coronial service that sought to understand how coronial processes engage with whānau who have lost a rangatahi to suicide. The aim of the combined study was to understand the extent to

Externí odkaz: https://doaj.org/article/0de6e5d5f3ce4c01b29c72d9f39f09bc

Investigating online activity in UK adolescent mental health patients: a feasibility study using a natural language processing approach for electronic health records

Autor: Rosemary Sedgwick, Rina Dutta, Johnny Downs, André Bittar, Herkiran Kalsi, Tamara Barack

Publikováno v: BMJ Open, Vol 13, Iss 5 (2023)

Objectives To assess the feasibility of using a natural language processing (NLP) application for extraction of free-text online activity mentions in adolescent mental health patient electronic health records (EHRs).Setting The Clinical Records Inter

Externí odkaz: https://doaj.org/article/6fa78d7bc9d04519aab6089680c65a2a

Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records

Autor: Karyn Ayre, André Bittar, Joyce Kam, Somain Verma, Louise M. Howard, Rina Dutta

Publikováno v: PLoS ONE, Vol 16, Iss 8 (2021)

Background 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

Externí odkaz: https://doaj.org/article/4ebb91b1374e485bb68be193d0d9cc8b

Temporal information extraction from mental health records to identify duration of untreated psychosis

Autor: Joyce Kam, Robert Stewart, Rina Dutta, Sumithra Velupillai, Lucia Yin, Natalia Viani, André Bittar, Rashmi Patel

Publikováno v: Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-11 (2020)
Journal of Biomedical Semantics
Viani, N, Kam, J, Yin, L, Bittar, A, Dutta, R, Patel, R, Stewart, R & Velupillai, S 2020, ' Temporal Information Extraction from Mental Health Records to Identify Duration of Untreated Psychosis ', Journal of biomedical semantics, vol. 11, no. 2, 2 . https://doi.org/10.1186/s13326-020-00220-2

Background Duration of untreated psychosis (DUP) is an important clinical construct in the field of mental health, as longer DUP can be associated with worse intervention outcomes. DUP estimation requires knowledge about when psychosis symptoms first

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da0941fdb01bfe1905c1f79772fa9ad
http://link.springer.com/article/10.1186/s13326-020-00220-2

Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis

Autor: Sumithra Velupillai, André Bittar, Angus Roberts, Rina Dutta

Publikováno v: JMIR Medical Informatics, Vol 9, Iss 4, p e22397 (2021)
JMIR Medical Informatics

Background Suicide is a serious public health issue, accounting for 1.4% of all deaths worldwide. Current risk assessment tools are reported as performing little better than chance in predicting suicide. New methods for studying dynamic features in e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d484b19bc6caf61a1a1e4fe1b4d56f9
https://medinform.jmir.org/2021/4/e22397