[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review

T Zhang, AM Schoene, S Ji, S Ananiadou - NPJ digital medicine, 2022 - nature.com
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …

Prefrontal cortex and depression

DA Pizzagalli, AC Roberts - Neuropsychopharmacology, 2022 - nature.com
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in
major depressive disorder (MDD). Although functional and structural PFC abnormalities …

Graph neural networks: foundation, frontiers and applications

L Wu, P Cui, J Pei, L Zhao, X Guo - … of the 28th ACM SIGKDD Conference …, 2022 - dl.acm.org
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

SK Khare, S March, PD Barua, VM Gadre, UR Acharya - Information Fusion, 2023 - Elsevier
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …

Mentalbert: Publicly available pretrained language models for mental healthcare

S Ji, T Zhang, L Ansari, J Fu, P Tiwari… - arXiv preprint arXiv …, 2021 - arxiv.org
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …

[HTML][HTML] From promise to practice: towards the realisation of AI-informed mental health care

N Koutsouleris, TU Hauser, V Skvortsova… - The Lancet Digital …, 2022 - thelancet.com
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

Artificial intelligence in psychiatry research, diagnosis, and therapy

J Sun, QX Dong, SW Wang, YB Zheng, XX Liu… - Asian Journal of …, 2023 - Elsevier
Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

Braingb: a benchmark for brain network analysis with graph neural networks

H Cui, W Dai, Y Zhu, X Kan, AAC Gu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …

[HTML][HTML] Automatic sleep staging of EEG signals: recent development, challenges, and future directions

H Phan, K Mikkelsen - Physiological Measurement, 2022 - iopscience.iop.org
Modern deep learning holds a great potential to transform clinical studies of human sleep.
Teaching a machine to carry out routine tasks would be a tremendous reduction in workload …

[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey

T Zhang, K Yang, S Ji, S Ananiadou - Information Fusion, 2023 - Elsevier
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …