Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Psychiatria Hungarica : A Magyar Pszichiatriai Tarsasag tudomanyos folyoirata
Jan 1, 2020
The aim of the study is to describe the effect of robot anxiety. The forming of the concept and the description of similar constructs, like technological anxiety and computer anxiety, is presented through a historical review. Given our current knowle...
BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational contexts, but their use in inpatient pediatric settings has not been demonstrated in studies. In this study, we aimed to (1) describe the introduction ...
OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behaviors and emotions. This study sought to review the literature on SAR intervention for reducing pediatric distress and pain in medical settings.
Studies in health technology and informatics
Jan 1, 2017
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digita...
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