Tag: machine learning for mental health

An ensemble of machine learning models detected suicidal ideation in Amharic social media posts with up to 83.3 percent accuracy, ...

Schizophrenia and bipolar disorder have haunted psychiatry with a diagnostic dilemma that is as old as the disciplines themselves. Both ...

Researchers have built the first large-scale, psychiatrist-annotated Persian Twitter corpus for suicidal ideation and shown that machine-learning classifiers detect personal ...

Researchers have built a machine learning model that detects major depressive disorder by mining higher-order transition rules in EEG microstate ...

In recent years, the intersection of artificial intelligence and healthcare has ushered in a transformative era, particularly in addressing complex ...

In the digital age, the rise of social media platforms has transformed not only how we communicate but also how ...

In the rapidly evolving landscape of technology and mental health, a groundbreaking study has emerged, shedding light on the intersection ...

In a groundbreaking study, researchers from Bangladesh have harnessed the power of machine learning to tackle a pervasive issue affecting ...

In the rapidly evolving field of mental health, the integration of artificial intelligence (AI) is transforming the landscape of therapy, ...

In an era where mental health challenges continue to escalate on a global scale, the intersection of technology and psychology ...