[HTML][HTML] Natural products for the treatment of depression: insights into signal pathways influencing the hypothalamic–pituitary–adrenal axis

J Liu, T Meng, C Wang, W Cheng, Q Zhang, G Cheng - Medicine, 2023 - journals.lww.com
Depression, a prevalent psychiatric malady, afflicts a substantial global demographic,
engendering considerable disease burden due to its elevated morbidity and mortality rates …

[HTML][HTML] Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter …

JH Yang, Y Chung, SJ Rhee, K Park, MJ Kim… - Journal of psychiatric …, 2024 - Elsevier
Despite previous efforts to build statistical models for predicting the risk of suicidal behavior
using machine-learning analysis, a high-accuracy model can lead to overfitting …

Automatic classification between COVID-19 and non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings: the Khorshid COVID Cohort Study

HR Marateb, F Ziaie Nezhad, MR Mohebian… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease …

Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture

Ö Türk, E Aldemir, E Acar, ÖF Ertuğrul - Soft Computing, 2024 - Springer
Electroencephalogram is a low-cost, non-invasive, and high-entropy signal and thus has
huge potential for clinical diagnosis of neurological diseases and brain–computer interface …

[HTML][HTML] A Research Landscape Analysis on Alzheimer's Disease and Gerontechnology: Identifying Key Contributors, Hotspots, and Emerging Trends

A Azizan, S Endrini - Archives of Gerontology and Geriatrics Plus, 2025 - Elsevier
This paper presents a systematic bibliometric analysis of the research landscape at the
intersection of Alzheimer's disease and gerontechnology, identifying key contributors …

An augmented teleconsultation platform for depressive disorders

D Ramalho, P Constantino, HP Da Silva… - IEEE …, 2022 - ieeexplore.ieee.org
Depressive disorders are a leading cause of morbility and disability in the working
population worldwide. Psychiatric assessment and treatment of depressive disorders may …

Multimodal region-based behavioral modeling for suicide risk screening

S Alghowinem, X Zhang, C Breazeal… - Frontiers in Computer …, 2023 - frontiersin.org
Introduction Suicide is a leading cause of death around the world, interpolating a huge
suffering to the families and communities of the individuals. Such pain and suffering are …

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 …

Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases

HI Okagbue, OA Ijezie, PO Ugwoke… - Heliyon, 2023 - cell.com
Psychotic disorder diseases (PDD) or mental illnesses are group of illnesses that affect the
minds and impair the cognitive ability, retard emotional ability and obstruct the process of …

[PDF][PDF] Early diagnosis of dementia patients by SPADE activity prediction algorithm

K Nisa'Minhad, A Farayez, MBI Reaz… - Measurement Science …, 2023 - sciendo.com
Dementia is not a specific disease, but a general term for age-related decline or loss of
memory, cognitive abilities including problem solving and decision-making, and one's own …