Background Mental health conditions pose a major challenge to health care providers and
society at large. The World Health Organization predicts that by 2030, mental health …

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome
characterized by cognitive impairment severe enough to interfere with activities of daily life …

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 …

Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …

Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …

An increasing number of studies have reported using natural language processing (NLP) to
assist observational research by extracting clinical information from electronic health records …

Introduction: Identifying individuals at high risk of dementia is critical to optimized clinical
care, formulating effective preventative strategies, and determining eligibility for clinical …

Objective: The authors sought to characterize the association between prior mood disorder
diagnosis and hospital outcomes among individuals admitted with COVID-19 to six Eastern …

Abstract Background/Objectives No data exist regarding the validity of International
Classification of Disease (ICD)‐10 dementia diagnoses against a clinician‐adjudicated …

Objective We performed a scoping review of algorithms using electronic health record (EHR)
data to identify patients with Alzheimer's disease and related dementias (ADRD), to advance …