Search Articles

View query in Help articles search

Search Results (1 to 10 of 106 Results)

Download search results: CSV END BibTex RIS


Performance of a Digital Cognitive Assessment in Predicting Dementia Stages Delineated by the Dementia Severity Rating Scale: Retrospective Study

Performance of a Digital Cognitive Assessment in Predicting Dementia Stages Delineated by the Dementia Severity Rating Scale: Retrospective Study

Patients that showed evidence of moderate to severe depression, defined by a Geriatric Depression Scale score of 9 or above [30], were excluded. This is to avoid including reversible causes of dementia, which may have poorly correlated impacts on cognitive and functional measures. Given that depression is common among patients with dementia [31-33], patients with mild depression were not excluded to avoid overfiltering of the data.

Duong Huynh, Kevin Sun, Mary Patterson, Reza Hosseini Ghomi, Bin Huang

JMIR Aging 2025;8:e65292

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

NLP has been instrumental in automatically extracting clinical information in various medical domains, including geriatric care [28-35]. For instance, Kharrazi et al [36] showcased higher rates of geriatric syndrome extraction from unstructured EHR using NLP compared to relying solely on claim data or structured EHR data.

Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

JMIR Aging 2025;8:e65221