Hybrid machine learning models to detect signs of depression

S Khan, S Alqahtani - Multimedia Tools and Applications, 2024 - Springer
Depression is a prevalent mental illness that can only be diagnosed through self-reporting.
Unfortunately, 70% of individuals do not seek medical help in the early stages of depression …

Sentiment analysis on Twitter using ordinal regression

M Ahmed, M Goel, R Kumar… - … Conference on Smart …, 2021 - ieeexplore.ieee.org
With around 186 million daily active users, Twitter is a popular social media platform with
increasing user growth every year. The top three twitter markets are in the US, Japan, and …

[PDF][PDF] Analyzing depression on social media utilizing machine learning and deep learning methods

PC Paul, MT Ahmed, MR Hasan, A Rajee… - Indian Journal of …, 2023 - ijcse.com
Depression is a psychological phenomenon that affects the metal health of people. At the
maximum level of depression, one may commit suicide. Besides, it hampers the family and …

Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities

A Aldkheel, L Zhou - Journal of Healthcare Informatics Research, 2024 - Springer
Social media has become a safe space for discussing sensitive topics such as mental
disorders. Depression dominates mental disorders globally, and accordingly, depression …

Detection of Depression in Social Media Posts using Emotional Intensity Analysis

MK Myee, RDC Rebekah, T Deepa, GD Zion… - … , Technology & Applied …, 2024 - etasr.com
Tapping into digital footprints on social media, this research focuses on providing new
insights into detecting depression through textual analysis. Initially, emotional raw data …

Assessing psychological risks severity level using variants of k-nearest neighbor algorithm

A Banerjee, S Mishra, V Malik… - AIP Conference …, 2024 - pubs.aip.org
The world is now a field for perpetual rat race in every sphere of life and it has grown to be a
space where about one thirds of the population suffers from anxiety disorder, proving it to be …

Detection of mental disorder on social platform

S Jain, M Jadhav, N Kolambe… - … on computing in …, 2022 - ieeexplore.ieee.org
Mental Disorders have expanded essentially since the world hit the pandemic. As the world
is engaging with COVID-19, people likewise need to manage the increment in psychological …

[PDF][PDF] Exploring the Potential of Machine Learning in Healthcare Accuracy Improvement

S Veeramani, SM Ramesh, B Gomathy - WSEAS Transactions on …, 2023 - wseas.com
Machine learning techniques have shown great potential in the medical industry, particularly
in the field of neuroimaging and the identification of neurological illnesses such as Autism …

[PDF][PDF] Monitor, evaluate, improve: TDR results 2017 report: measuring for improvement

World Health Organization, UNICEF - 2018 - apps.who.int
The year 2017 marked the conclusion of TDR's 2012-2017 strategic plan, which was
successfully implemented. The agreed six-year targets were achieved to a large extent, in …

Identificaçao de perfis depressivos em redes sociais utilizando aprendizado de máquina: um mapeamento sistemático

V Casani, RG Mantovani, ACC Souza… - Anais do Computer …, 2020 - periodicos.univali.br
Depression is a psychological disorder that affects millions of people in the world,
regardless of their age, social class or nationality. In the literature, different techniques have …