Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review

E Hossain, R Rana, N Higgins, J Soar, PD Barua… - Computers in biology …, 2023 - Elsevier
Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Large language models in mental health care: a sco** review

Y Hua, F Liu, K Yang, Z Li, H Na, Y Sheu… - ar** review
K Denecke, D Reichenpfader - Journal of biomedical informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …

The promise of a model-based psychiatry: building computational models of mental ill health

TU Hauser, V Skvortsova, M De Choudhury… - The Lancet Digital …, 2022 - thelancet.com
Computational models have great potential to revolutionise psychiatry research and clinical
practice. These models are now used across multiple subfields, including computational …

Application of natural language processing (NLP) in detecting and preventing suicide ideation: a systematic review

A Arowosegbe, T Oyelade - International Journal of Environmental …, 2023 - mdpi.com
(1) Introduction: Around a million people are reported to die by suicide every year, and due
to the stigma associated with the nature of the death, this figure is usually assumed to be an …

The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: a meta-analysis and systematic review

K Kusuma, M Larsen, JC Quiroz, M Gillies… - Journal of psychiatric …, 2022 - Elsevier
Research has posited that machine learning could improve suicide risk prediction models,
which have traditionally performed poorly. This systematic review and meta-analysis …

Use of unstructured text in prognostic clinical prediction models: a systematic review

TM Seinen, EA Fridgeirsson, S Ioannou… - Journal of the …, 2022 - academic.oup.com
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …

[HTML][HTML] Linguistic features of suicidal thoughts and behaviors: A systematic review

S Homan, M Gabi, N Klee, S Bachmann… - Clinical psychology …, 2022 - Elsevier
Abstract Language is a potential source of predictors for suicidal thoughts and behaviors
(STBs), as changes in speech characteristics, communication habits, and word choice may …

AI and narrative embeddings detect PTSD following childbirth via birth stories

A Bartal, KM Jagodnik, SJ Chan, S Dekel - Scientific Reports, 2024 - nature.com
Free-text analysis using machine learning (ML)-based natural language processing (NLP)
shows promise for diagnosing psychiatric conditions. Chat Generative Pre-trained …