Practical pathway for the management of depression in the workplace: a Canadian perspective
P Chokka, A Bender, S Brennan, G Ahmed… - Frontiers in …, 2023 - frontiersin.org
Major depressive disorder (MDD) and other mental health issues pose a substantial burden
on the workforce. Approximately half a million Canadians will not be at work in any week …
on the workforce. Approximately half a million Canadians will not be at work in any week …
Single classifier vs. ensemble machine learning approaches for mental health prediction
J Chung, J Teo - Brain informatics, 2023 - Springer
Early prediction of mental health issues among individuals is paramount for early diagnosis
and treatment by mental health professionals. One of the promising approaches to achieving …
and treatment by mental health professionals. One of the promising approaches to achieving …
Screening for adulthood ADHD and comorbidities in a tertiary mental health center using EarlyDetect: a machine learning-based pilot study
Screening for adult Attention-Deficit/Hyperactivity Disorder (ADHD) and differentiating ADHD
from comorbid mental health disorders remains to be clinically challenging. A screening tool …
from comorbid mental health disorders remains to be clinically challenging. A screening tool …
Resting-state functional connectivity does not predict individual differences in the effects of emotion on memory
Emotion-laden events and objects are typically better remembered than neutral ones. This is
usually explained by stronger functional coupling in the brain evoked by emotional content …
usually explained by stronger functional coupling in the brain evoked by emotional content …
Identifying neurodevelopmental disabilities from nationalised preschool health check
Objective: Models of psychometric screening to identify individuals with neurodevelopmental
disabilities (NDDs) have had limited success. In Aotearoa/New Zealand, routine …
disabilities (NDDs) have had limited success. In Aotearoa/New Zealand, routine …
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
KD Kannan, SK Jagatheesaperumal… - arXiv preprint arXiv …, 2024 - arxiv.org
For the early identification, diagnosis, and treatment of mental health illnesses, the
integration of deep learning (DL) and machine learning (ML) has started playing a …
integration of deep learning (DL) and machine learning (ML) has started playing a …
Revolutionizing Mental Healthcare Services through AI-Augmentation: A New Model
S Sadeh-Sharvit, S Hollon - 2023 - europepmc.org
Artificial intelligence (AI) offers unmet potential for mental health services but also presents
new challenges for providers. As AI tools become more ubiquitous in our lives, there is a …
new challenges for providers. As AI tools become more ubiquitous in our lives, there is a …
Detecting bipolar disorder on social media by post grouping and interpretable deep learning
Bipolar disorder is a disorder in which a person expresses manic and depressed emotions
repeatedly. Diagnosing bipolar disorder accurately can be difficult because other mood …
repeatedly. Diagnosing bipolar disorder accurately can be difficult because other mood …
Individualized identification of sexual dysfunction of psychiatric patients with machine-learning
Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can
significantly impair their quality of life. Early recognition of SD in a clinical setting may help …
significantly impair their quality of life. Early recognition of SD in a clinical setting may help …
Accuracy Improvement of Mood Disorders Prediction using a Combination of Data Mining and Meta-Heuristic Algorithms
M Fariborzi, M Zeinalnezhad, A Saghaei - Journal of Health and Biomedical …, 2022 - jhbmi.ir
Method: Data collected in this applied developmental research included 996 records with
130 features obtained by interviewing and completing questionnaires in a mental hospital in …
130 features obtained by interviewing and completing questionnaires in a mental hospital in …