Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study [PDF]
Use of speech models for automatic speech processing tasks can improve efficiency in the screening, analysis, diagnosis and treatment in medicine and psychiatry. However, the performance of pre-processing speech tasks like segmentation and diarization can drop considerably on in-the-wild clinical data, specifically when the target dataset comprises of ...
arxiv
Background Emotion regulation difficulties appear to play a role in the development and maintenance of several eating disorders. This pilot study aimed at examining whether a short add-on group skills training in emotion regulation for young adults with ...
Kristina Holmqvist Larsson+5 more
doaj +1 more source
Maternal stress and postnatal hospitalization of the baby
Introduction Postnatal hospitalisation is an extremely traumatic event for both mother and baby. Such a situation reflects a psychological dysfunction with a risk of developing a post-traumatic stress disorder. Objectives To study the level of stress in
K. Chiha+7 more
doaj +1 more source
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry [PDF]
Observation is an essential tool for understanding and studying human behavior and mental states. However, coding human behavior is a time-consuming, expensive task, in which reliability can be difficult to achieve and bias is a risk. Machine learning (ML) methods offer ways to improve reliability, decrease cost, and scale up behavioral coding for ...
arxiv
Attracting Child Psychiatrists to a Televideo Consultation Service: The TeleLink Experience
Objective. Identify aspects of psychiatry work that are rewarding, as well as those that are challenging, from the perspective of psychiatrists and residents participating in televideo consultation services. Method.
Tiziana Volpe+2 more
doaj +1 more source
Diagnosing an 11 Year Old Girl with Narcolepsy in a Child Psychiatry Unit: A Case Presentation
Narcolepsy is a chronic disorder that might cause severe morbidity and functional deterioration with a wide range of complicated symptoms and no clear identified aetiology.
Özlem Önen+2 more
doaj +1 more source
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan [PDF]
Motivation: Behavioral observations are an important resource in the study and evaluation of psychological phenomena, but it is costly, time-consuming, and susceptible to bias. Thus, we aim to automate coding of human behavior for use in psychotherapy and research with the help of artificial intelligence (AI) tools.
arxiv
Bias Discovery in Machine Learning Models for Mental Health [PDF]
Fairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We computed fairness metrics and present bias mitigation strategies using a model trained on clinical mental health data.
arxiv +1 more source
Heredity, education, developmental characteristics of children with somatoform disorders
Introduction Psychosomatic disorders, their polymorphism and wide distribution in the population are the subject of study by many specialists in borderline mental disorders. Objectives We examined 48 (19 boys, 29 girls) children aged 6-13 years who were
M. Kalinina+3 more
doaj +1 more source
Modern Views of Machine Learning for Precision Psychiatry [PDF]
In light of the NIMH's Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new opportunities to develop precise and personalized prognosis and diagnosis of mental disorders. Machine learning (ML) and artificial intelligence (AI) technologies are playing an increasingly critical role in the new ...
arxiv