[HTML][HTML] Wearable artificial intelligence for anxiety and depression: sco** review
Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …
the technologies that have been exploited to detect or predict depression. The current …
[HTML][HTML] The role of machine learning in diagnosing bipolar disorder: sco** review
Background Bipolar disorder (BD) is the 10th most common cause of frailty in young
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life …
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …
from which millions of individuals are affected today. The symptoms of depression are …
Depress-DCNF: A deep convolutional neuro-fuzzy model for detection of depression episodes using IoMT
Discernible patterns of a person's daily activities can be utilized to detect behavioral
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
A review of detection techniques for depression and bipolar disorder
D Highland, G Zhou - Smart Health, 2022 - Elsevier
Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
Unipolar and bipolar depression detection and classification based on actigraphic registration of motor activity using machine learning and uniform manifold …
M Zakariah, YA Alotaibi - Diagnostics, 2023 - mdpi.com
Modern technology frequently uses wearable sensors to monitor many aspects of human
behavior. Since continuous records of heart rate and activity levels are typically gathered …
behavior. Since continuous records of heart rate and activity levels are typically gathered …
Portable technologies for digital phenoty** of bipolar disorder: A systematic review
Background Bias-prone psychiatric interviews remain the mainstay of bipolar disorder (BD)
assessment. The development of digital phenoty** promises to improve BD management …
assessment. The development of digital phenoty** promises to improve BD management …
[HTML][HTML] Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study
Background: Depressive and manic episodes within bipolar disorder (BD) and major
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data
In the modern world, with so much inherent stress, mental health disorders (MHDs) are
becoming more common in every country around the globe, causing a significant burden on …
becoming more common in every country around the globe, causing a significant burden on …