Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Multimodal prediction of obsessive-compulsive disorder, comorbid depression, and energy of deep brain stimulation
To develop reliable, valid, and efficient measures of obsessive-compulsive disorder (OCD)
severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep …
severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep …
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Recent progress in large language models (LLMs) has enabled the deployment of many
generative NLP applications. At the same time, it has also led to a misleading public …
generative NLP applications. At the same time, it has also led to a misleading public …
SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior
Depression strongly impacts parents' behavior. Does parents' depression strongly affect the
behavior of their children as well? To investigate this question, we compared dyadic …
behavior of their children as well? To investigate this question, we compared dyadic …
Can an Unobtrusive, Multimodal Mixed-Effects Regressor Based on Open-Ended Interviews Predict OCD Severity?
Reliable, valid, efficient measurement of symptom severity in internalizing disorders is
critical to gauge treatment response. Self-report and clinical interview are subjective and …
critical to gauge treatment response. Self-report and clinical interview are subjective and …
Automated assessment of symptoms of anxiety in children from parent-child interaction videos
A Aristophanes Albertus Alvin - 2024 - studenttheses.uu.nl
Burgeoning economic crises, growing political instabilities, and the recent pandemic have
caused mental health deterioration in many parts of the world. The most prevalent mental …
caused mental health deterioration in many parts of the world. The most prevalent mental …