[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm

AH Alharbi, SK Towfek, AA Abdelhamid, A Ibrahim… - Biomimetics, 2023 - mdpi.com
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …

Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review

MP Moghadam, ZA Moghadam, MRC Qazani… - IEEE …, 2024 - ieeexplore.ieee.org
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …

Evaluation of deep learning-based depression detection using medical claims data

M Bertl, N Bignoumba, P Ross, SB Yahia… - Artificial Intelligence in …, 2024 - Elsevier
Human accuracy in diagnosing psychiatric disorders is still low. Even though digitizing
health care leads to more and more data, the successful adoption of AI-based digital …

[HTML][HTML] A systematic literature review and analysis of deep learning algorithms in mental disorders

G Arji, L Erfannia, M Hemmat - Informatics in medicine unlocked, 2023 - Elsevier
Introduction Mental disorders are the main cause of mortality and morbidity worldwide. Deep
learning offers a considerable promise for mental health diagnosis and risk assessment. The …

Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches

P Kumar, A Vedernikov, X Li - arXiv preprint arXiv:2403.08824, 2024 - arxiv.org
Analysis of non-typical emotions, such as stress, depression and engagement is less
common and more complex compared to that of frequently discussed emotions like …

Neuroanatomical substrates of depression in dementia with Lewy bodies and Alzheimer's disease

M Querry, A Botzung, B Cretin, C Demuynck, C Muller… - GeroScience, 2024 - Springer
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) are often associated with
depressive symptoms from the prodromal stage. The aim of the present study was to …

Depressive and mania mood state detection through voice as a biomarker using machine learning

J Ji, W Dong, J Li, J Peng, C Feng, R Liu, C Shi… - Frontiers in …, 2024 - frontiersin.org
Introduction Depressive and manic states contribute significantly to the global social burden,
but objective detection tools are still lacking. This study investigates the feasibility of utilizing …

A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder

X Li, Q Kang, H Gu - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Obsessive-compulsive disorder (OCD) is a common mental disease, which can exist as a
separate disease or become one of the symptoms of other mental diseases. With the …

Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations

S Muñoz, CÁ Iglesias - Applied Sciences, 2023 - mdpi.com
Depression is a common and debilitating mental illness affecting millions of individuals,
diminishing their quality of life and overall well-being. The increasing prevalence of mental …