[HTML][HTML] Psychologist in a pocket: lexicon development and content validation of a mobile-based app for depression screening
Background: Language reflects the state of one's mental health and personal characteristics.
It also reveals preoccupations with a particular schema, thus possibly providing insights into …
It also reveals preoccupations with a particular schema, thus possibly providing insights into …
A review on mental stress detection using wearable sensors and machine learning techniques
Stress is an escalated psycho-physiological state of the human body emerging in response
to a challenging event or a demanding condition. Environmental factors that trigger stress …
to a challenging event or a demanding condition. Environmental factors that trigger stress …
[HTML][HTML] A deep learning-based comparative study to track mental depression from EEG data
A Sarkar, A Singh, R Chakraborty - Neuroscience Informatics, 2022 - Elsevier
Background Modern day's society is engaged in commitment-based and time-bound jobs.
This invites tension and mental depression among many people who are not able to cope …
This invites tension and mental depression among many people who are not able to cope …
[HTML][HTML] Panic attack prediction using wearable devices and machine learning: development and cohort study
CH Tsai, PC Chen, DS Liu, YY Kuo… - JMIR Medical …, 2022 - medinform.jmir.org
Background: A panic attack (PA) is an intense form of anxiety accompanied by multiple
somatic presentations, leading to frequent emergency department visits and impairing the …
somatic presentations, leading to frequent emergency department visits and impairing the …
[PDF][PDF] Analysis of deep learning techniques for early detection of depression on social media network-a comparative study
S Smys, JS Raj - Journal of trends in Computer Science and Smart …, 2021 - academia.edu
The early detection or identification of emotional states plays a vital role in today's world,
where the number of internet and social media users are increasing at an unprecedented …
where the number of internet and social media users are increasing at an unprecedented …
[PDF][PDF] Classification of anxiety disorders using machine learning methods: a literature review
M Arif, A Basri, G Melibari, T Sindi… - Insights …, 2020 - pdfs.semanticscholar.org
This paper focuses on providing a comprehensive literature review on the application of
machine learning algorithms in the diagnosis of anxiety disorder, treatment response, and …
machine learning algorithms in the diagnosis of anxiety disorder, treatment response, and …
Hybrid CNN-SVM classifier for efficient depression detection system
Depression is a serious debilitating mental disorder affecting people from all ages all over
the world. The number of depression cases increases annually in a continuous way. Due to …
the world. The number of depression cases increases annually in a continuous way. Due to …
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation
CI Ossai, N Wickramasinghe - Artificial Intelligence in Medicine, 2023 - Elsevier
The increasing reliance on mobile health for managing disease conditions has opened a
new frontier in digital health, thus, the need for understanding what constitutes positive and …
new frontier in digital health, thus, the need for understanding what constitutes positive and …
Machine learning in E-health: a comprehensive survey of anxiety
Anxiety is the sixth major disorder that arises due to sleeplessness, inspiration, energy,
hunger loss and desperate ideas. This study aims to define the extent of the research carried …
hunger loss and desperate ideas. This study aims to define the extent of the research carried …
A machine learning approach to detect depression and anxiety using supervised learning
Depression and anxiety are among the leading causes of substantial disability in developing
countries. According to a study of World Health Organization (WHO) South East Region …
countries. According to a study of World Health Organization (WHO) South East Region …