Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

INTRODUCTION The use of applied modeling in dementia risk prediction, diagnosis, and
prognostics will have substantial public health benefits, particularly as “deep phenotyping” …

Introduction: Electronic health records (EHR) and administrative healthcare data (AHD) are
frequently used in geriatric mental health research to answer various health research …

Objective To investigate whether herpes zoster (HZ) was associated with subsequent
increased risk of dementia diagnosis. Methods We conducted a historical cohort study using …

Background Machine learning-based prediction models have the potential to have a
considerable positive impact on geriatric care. Design Systematic review and meta …

Electronic medical records (EMRs) have many benefits in clinical research in gerontology,
enabling data analysis, development of prognostic tools and disease risk prediction. EMRs …

The practice of medical decision making is changing rapidly with the development of
innovative computing technologies. The growing interest of data analysis with improvements …

With the advances in technology and data science, machine learning (ML) is being rapidly
adopted by the health care sector. However, there is a lack of literature addressing the …

Objective To compare use of healthcare services and reasons for attendance by children
and young people (CYP) with attention-deficit/hyperactivity disorder (ADHD) versus non …