Artificial intelligence for mental health and mental illnesses: an overview
Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
Detection of child depression using machine learning methods
Background Mental health problems, such as depression in children have far-reaching
negative effects on child, family and society as whole. It is necessary to identify the reasons …
negative effects on child, family and society as whole. It is necessary to identify the reasons …
[HTML][HTML] Screening of anxiety and depression among seafarers using machine learning technology
A Sau, I Bhakta - Informatics in Medicine Unlocked, 2019 - Elsevier
BACKGROUND Seafarers are vulnerable to suffering from various mental health disorders,
most commonly anxiety and depression. Therefore, periodic screening for anxiety and …
most commonly anxiety and depression. Therefore, periodic screening for anxiety and …
[HTML][HTML] Fusing features of speech for depression classification based on higher-order spectral analysis
X Miao, Y Li, M Wen, Y Liu, IN Julian, H Guo - Speech Communication, 2022 - Elsevier
Approximately 300 million people worldwide suffer from depression, and more than 60% of
psychiatric patients do not have access to mental health services due to the shortage of …
psychiatric patients do not have access to mental health services due to the shortage of …
Comprehensive review of depression detection techniques based on machine learning approach
Depression has become a serious disease that affects people's mental state and is an
important part of the global disease burden. Research in this area began later in 1920 and …
important part of the global disease burden. Research in this area began later in 1920 and …
Artificial intelligence: An interprofessional perspective on implications for geriatric mental health research and care
Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets
within and across individuals. These patterns may either improve understanding of current …
within and across individuals. These patterns may either improve understanding of current …
机器学习在抑郁症领域的应用
董健宇， 韦文棋， 吴珂， 妮娜， 王粲霏， 付莹… - 心理科学进展, 2020 - journal.psych.ac.cn
摘要抑郁症患者疾病意识的不足以及早期筛查方法的缺乏导致患者在被诊断时大多已发展至重
性抑郁障碍. 为改善现状, 近年来机器学习被逐渐应用到抑郁症的早期预测, 早期识别 …
性抑郁障碍. 为改善现状, 近年来机器学习被逐渐应用到抑郁症的早期预测, 早期识别 …
Artificial intelligence in service delivery systems: A systematic literature review
Artificial intelligence (AI) is transforming the 21 st century service industries. With increased
availability of virtual channels, new approaches to resource management are required for …
availability of virtual channels, new approaches to resource management are required for …
Ensemble Learning to Identify Depression Indicators for Korean Farmers
Understanding the factors contributing to depression in farmers is crucial for ensuring their
well-being and productivity. To address this issue, our study delves into depression factors …
well-being and productivity. To address this issue, our study delves into depression factors …