Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification
EH Houssein, A Sayed - Mathematics, 2023 - mdpi.com
In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
Application of machine learning in predicting hospital readmissions: a scoping review of the literature
Background Advances in machine learning (ML) provide great opportunities in the
prediction of hospital readmission. This review synthesizes the literature on ML methods and …
prediction of hospital readmission. This review synthesizes the literature on ML methods and …
Machine learning algorithms for depression: diagnosis, insights, and research directions
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense
psychological effects on people's minds worldwide. The global technological development …
psychological effects on people's minds worldwide. The global technological development …
Predicting women with depressive symptoms postpartum with machine learning methods
S Andersson, DR Bathula, SI Iliadis, M Walter… - Scientific reports, 2021 - nature.com
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new
mothers. Despite negative effects on mothers' and children's health, many women do not …
mothers. Despite negative effects on mothers' and children's health, many women do not …
[HTML][HTML] Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
XJ Cao, XQ Liu - World Journal of Psychiatry, 2022 - ncbi.nlm.nih.gov
Artificial intelligence-based technologies are gradually being applied to psych-iatric
research and practice. This paper reviews the primary literature concerning artificial …
research and practice. This paper reviews the primary literature concerning artificial …
[HTML][HTML] Use of machine learning approach to predict depression in the elderly in China: a longitudinal study
Background Early detection of potential depression among elderly people is conducive for
timely preventive intervention and clinical care to improve quality of life. Therefore …
timely preventive intervention and clinical care to improve quality of life. Therefore …
[PDF][PDF] Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
The rise and fall of MRI studies in major depressive disorder
C Zhuo, G Li, X Lin, D Jiang, Y Xu, H Tian… - Translational …, 2019 - nature.com
Structural and functional brain alterations are common in patients with major depressive
disorder (MDD). In this review, we assessed the recent literature (1995–2018) on the …
disorder (MDD). In this review, we assessed the recent literature (1995–2018) on the …