[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: sco** review

P Gooding, T Kariotis - JMIR Mental Health, 2021 - mental.jmir.org
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Deep learning for depression detection from textual data

A Amanat, M Rizwan, AR Javed, M Abdelhaq… - Electronics, 2022 - mdpi.com
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

[HTML][HTML] Machine learning methods for predicting postpartum depression: sco** review

K Saqib, AF Khan, ZA Butt - JMIR mental health, 2021 - mental.jmir.org
Background Machine learning (ML) offers vigorous statistical and probabilistic techniques
that can successfully predict certain clinical conditions using large volumes of data. A review …

A textual-based featuring approach for depression detection using machine learning classifiers and social media texts

R Chiong, GS Budhi, S Dhakal, F Chiong - Computers in Biology and …, 2021 - Elsevier
Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …

Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model

UK Lilhore, S Dalal, N Varshney, YK Sharma… - Scientific reports, 2024 - nature.com
Abstract Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and
results in severe depression and suicide attempts in the social community. Prompt actions …

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM

H Kour, MK Gupta - Multimedia Tools and Applications, 2022 - Springer
Depression has become one of the most widespread mental health disorders across the
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …

Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

MBB Heyat, F Akhtar, F Munir, A Sultana… - Complex & Intelligent …, 2024 - Springer
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach

UK Lilhore, S Dalal, N Faujdar, S Simaiya… - Multimedia Tools and …, 2024 - Springer
A major psychological problem that numerous new mothers experience is postpartum
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …

A systematic review on automated clinical depression diagnosis

K Mao, Y Wu, J Chen - Npj mental health research, 2023 - nature.com
Assessing mental health disorders and determining treatment can be difficult for a number of
reasons, including access to healthcare providers. Assessments and treatments may not be …

Does social media feed tell about your mental state? A deep randomised neural network approach

S Kumar, Z Nisha - … joint conference on neural networks (IJCNN …, 2022 - ieeexplore.ieee.org
Depression is one of the most severe issues in the present-day technology-driven world.
Digital transformation and its offerings have penetrated our life. Social media platforms such …