[HTML][HTML] Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

S Hornstein, J Scharfenberger, U Lueken… - NPJ Digital …, 2024 - nature.com
Chat-based counseling hotlines emerged as a promising low-threshold intervention for
youth mental health. However, despite the resulting availability of large text corpora, little …

[PDF][PDF] A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection

R Chahar, AK Dubey, SK Narang - International Journal of …, 2021 - researchgate.net
Cases of mental health issues are increasing continuously and have sped up due to COVID-
19. There are high chances of developing mental health issues such as depression, anxiety …

[HTML][HTML] Finding the best match—A case study on the (Text-) Feature and model choice in digital mental health interventions

K Zantvoort, J Scharfenberger, L Boß, D Lehr… - Journal of Healthcare …, 2023 - Springer
With the need for psychological help long exceeding the supply, finding ways of scaling, and
better allocating mental health support is a necessity. This paper contributes by investigating …

[HTML][HTML] A review of natural language processing in the identification of suicidal behavior

J Young, S Bishop, C Humphrey, JM Pavlacic - Journal of Affective …, 2023 - Elsevier
Background Natural language processing (NLP) approaches offer powerful, flexible
methods of identifying various psychological conditions from free-form verbal expression in …

[HTML][HTML] Listening to mental health crisis needs at scale: using natural language processing to understand and evaluate a mental health crisis text messaging service

Z Liu, RL Peach, EL Lawrance, A Noble… - Frontiers in Digital …, 2021 - frontiersin.org
Mental health is a growing public health issue that requires a large-scale response that
cannot be met with only traditional services. While digital tools are proliferating, most are not …

[HTML][HTML] Identifying caregiver availability using medical notes with rule-based natural language processing: retrospective cohort study

E Mahmoudi, W Wu, C Najarian, J Aikens, J Bynum… - JMIR aging, 2022 - aging.jmir.org
Background: Identifying caregiver availability, particularly for patients with dementia or those
with a disability, is critical to informing the appropriate care planning by the health systems …

[HTML][HTML] Addressing Biodisaster X threats with artificial intelligence and 6G technologies: literature review and critical insights

Z Su, D McDonnell, BL Bentley, J He, F Shi… - Journal of medical …, 2021 - jmir.org
Background With advances in science and technology, biotechnology is becoming more
accessible to people of all demographics. These advances inevitably hold the promise to …

Automatic detection of depressive users in social media

F Benamara, V Moriceau, J Mothe… - … en Recherche d' …, 2018 - hal.science
According to the World Health Organization, 350 million people worldwide sufferfrom
depression. Detecting this trouble constitutes thus a challenge for personal and …

Social media and suicide: a validation of terms to help identify suicide-related social media posts

S Parrott, BC Britt, JL Hayes… - Journal of evidence-based …, 2020 - Taylor & Francis
Background Communication plays an important role in the prevention of suicide, a leading
cause of death in the United States. Prior research suggests people who die by suicide often …

Emotion AI Use in US Mental Healthcare: Potentially Unjust and Techno-Solutionist

K Roemmich, S Corvite, C Pyle, N Karizat… - Proceedings of the ACM …, 2024 - dl.acm.org
Emotion AI, or AI that claims to infer emotional states from various data sources, is
increasingly deployed in myriad contexts, including mental healthcare. While emotion AI is …