Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Major depressive disorder (MDD) is often accompanied with suicidal ideation (SI). Previous studies s...
Depressive disorder (DD) has become one of the most common mental diseases, seriously endangering bo...
Managing mood disorders poses challenges in counseling and drug treatment, owing to limitations. Cou...
Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...
By mimicking the behavior of the human brain, artificial neural systems offer the possibility to fur...
OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predi...
Positive psychology interventions (PPIs) are effective at increasing happiness and decreasing depres...
Depression in adolescence is recognized as an important social and public health issue that interfer...
To explore the minds of others, which is traditionally referred to as Theory of Mind (ToM), is perha...
Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst t...
Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registeri...
BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar...
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social medi...
OBJECTIVES: The notion of Bipolarity based on positive and negative outcomes. It is well known that ...
Surgical data quantification and comprehension expose subtle patterns in tasks and performance. Enab...
Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively cap...
I raise an ethical problem with physicians using "black box" medical AI algorithms, arguing that its...
This paper presents a BJT-based smart CMOS temperature sensor. The analog front-end circuit contains...
Despite its potentials benefits, using prediction targets generated based on latent variable (LV) mo...
BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has under...
A recurrent neural network (RNN) can generate a sequence of patterns as the temporal evolution of th...