Predicting dementia with routine care EMR data
Our aim is to develop a machine learning (ML) model that can predict dementia in a general
patient population from multiple health care institutions one year and three years prior to the …
patient population from multiple health care institutions one year and three years prior to the …
Charting everyday activities in later life: Study protocol of the mobility, activity, and social interactions study (MOASIS)
Prominent theories of aging emphasize the importance of resource allocation processes as
a means to maintain functional ability, well-being and quality of life. Little is known about …
a means to maintain functional ability, well-being and quality of life. Little is known about …
Best practices for Electronically Activated Recorder (EAR) research: A practical guide to coding and processing EAR data
DM Kaplan, KE Rentscher, M Lim, R Reyes… - Behavior Research …, 2020 - Springer
Since its introduction in 2001, the Electronically Activated Recorder (EAR) method has
become an established and broadly used tool for the naturalistic observation of daily social …
become an established and broadly used tool for the naturalistic observation of daily social …
Sounds of healthy aging: Assessing everyday social and cognitive activity from ecologically sampled ambient audio data
As proposed by the healthy aging model of the World Health Organization (2015),
participation in social and cognitive activities is important for healthy aging and for …
participation in social and cognitive activities is important for healthy aging and for …
Automatic behavior assessment from uncontrolled everyday audio recordings by deep learning
The manual categorization of behavior from sensory observation data to facilitate further
analyses is a very expensive process. To overcome the inherent subjectivity of this process …
analyses is a very expensive process. To overcome the inherent subjectivity of this process …
[HTML][HTML] Social reminiscence in older adults' everyday conversations: automated detection using natural language processing and machine learning
Background Reminiscence is the act of thinking or talking about personal experiences that
occurred in the past. It is a central task of old age that is essential for healthy aging, and it …
occurred in the past. It is a central task of old age that is essential for healthy aging, and it …
[HTML][HTML] Predicting working memory in healthy older adults using real-life language and social context information: a machine learning approach
Background Language use and social interactions have demonstrated a close relationship
with cognitive measures. It is important to improve the understanding of language use and …
with cognitive measures. It is important to improve the understanding of language use and …
Understanding reminiscence and its negative functions in the everyday conversations of young adults: A machine learning approach
A Ferrario, B Demiray - Heliyon, 2024 - cell.com
Reminiscence is the act of recalling or telling others about relevant personal past
experiences. It is an important activity for all individuals, young and old alike. In fact …
experiences. It is an important activity for all individuals, young and old alike. In fact …
With a little help from familiar interlocutors: Real-world language use in young and older adults
Objectives Functional psychologists are concerned with the performance of cognitive
activities in the real world in relation to cognitive changes in older age. Conversational …
activities in the real world in relation to cognitive changes in older age. Conversational …
Challenges providing ground truth for pervasive healthcare systems
K Yordanova - IEEE Pervasive Computing, 2019 - ieeexplore.ieee.org
The rapid growth of data collected for training models to detect activities and changes in
behavior and the adoption of wearables and smart devices are making the development of …
behavior and the adoption of wearables and smart devices are making the development of …