Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Epidemiological studies report high levels of anxiety and depression amongst adolescents.
These psychiatric conditions and complex interplays of biological, social and environmental …
These psychiatric conditions and complex interplays of biological, social and environmental …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …
negatively influence people's lives and society's health. With the increasing popularity of …
Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Multi-level attention network using text, audio and video for depression prediction
A Ray, S Kumar, R Reddy, P Mukherjee… - Proceedings of the 9th …, 2019 - dl.acm.org
Depression has been the leading cause of mental-health illness worldwide. Major
depressive disorder (MDD), is a common mental health disorder that affects both …
depressive disorder (MDD), is a common mental health disorder that affects both …
Towards advancing the earthquake forecasting by machine learning of satellite data
Earthquakes have become one of the leading causes of death from natural hazards in the
last fifty years. Continuous efforts have been made to understand the physical characteristics …
last fifty years. Continuous efforts have been made to understand the physical characteristics …
Hierarchical deep neural network for mental stress state detection using IoT based biomarkers
Affective state recognition at an early stage can help in mood stabilization, stress and
depression management for mental well-being. Pro-active and remote mental healthcare …
depression management for mental well-being. Pro-active and remote mental healthcare …
Underwater object detection using Invert Multi-Class Adaboost with deep learning
In recent years, deep learning based methods have achieved promising performance in
standard object detection. However, these methods lack sufficient capabilities to handle …
standard object detection. However, these methods lack sufficient capabilities to handle …
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
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 …
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …
Attention-enabled ensemble deep learning models and their validation for depression detection: A domain adoption paradigm
Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …