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Neuropsychiatric symptoms and commonly used biomarkers of Alzheimer's disease: A literature review from a machine learning perspective
There is a growing interest in the application of machine learning (ML) in Alzheimer's
disease (AD) research. However, neuropsychiatric symptoms (NPS), frequent in subjects …
disease (AD) research. However, neuropsychiatric symptoms (NPS), frequent in subjects …
Use of machine learning and artificial intelligence methods in geriatric mental health research involving electronic health record or administrative claims data: a …
M Chowdhury, EG Cervantes, WY Chan… - Frontiers in …, 2021 - frontiersin.org
Introduction: Electronic health records (EHR) and administrative healthcare data (AHD) are
frequently used in geriatric mental health research to answer various health research …
frequently used in geriatric mental health research to answer various health research …
Comorbidity and household income as mediators of gender inequalities in dementia risk: a real-world data population study
U Zubiagirre, O Ibarrondo, I Larrañaga, M Soto-Gordoa… - BMC geriatrics, 2024 - Springer
Background Low household income (HI), comorbidities and female sex are associated with
an increased risk of dementia. The aim of this study was to measure the mediating effect of …
an increased risk of dementia. The aim of this study was to measure the mediating effect of …
Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods
Air pollution exposure has been linked to various diseases, including dementia. However, a
novel method for investigating the associations between air pollution exposure and disease …
novel method for investigating the associations between air pollution exposure and disease …
[HTML][HTML] Socioeconomic and gender inequalities in mental disorders among adolescents and young adults
J Mar, I Larrañaga, O Ibarrondo… - Spanish Journal of …, 2024 - Elsevier
Background Socioeconomic status (SES) and gender play a key role in mental health. The
objective of this study was to assess socioeconomic and gender mental health inequalities …
objective of this study was to assess socioeconomic and gender mental health inequalities …
A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health …
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 …
adopted by the health care sector. However, there is a lack of literature addressing the …
The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer's disease: a natural language processing study
WS Eikelboom, EH Singleton, E van den Berg… - Alzheimer's Research & …, 2023 - Springer
Background Neuropsychiatric symptoms (NPS) are prevalent in the early clinical stages of
Alzheimer's disease (AD) according to proxy-based instruments. Little is known about which …
Alzheimer's disease (AD) according to proxy-based instruments. Little is known about which …
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data
J Mar, A Gorostiza, A Arrospide, I Larrañaga… - Revista de Psiquiatría y …, 2022 - Elsevier
Introduction Incidence rates of dementia-related neuropsychiatric symptoms (NPS) are not
known and this hampers the assessment of their population burden. The objective of this …
known and this hampers the assessment of their population burden. The objective of this …
[HTML][HTML] Using ai-based technologies to help nurses detect behavioral disorders: narrative literature review
S Fernandes, A Von Gunten, H Verloo - JMIR nursing, 2024 - nursing.jmir.org
Background: The behavioral and psychological symptoms of dementia (BPSD) are common
among people with dementia and have multiple negative consequences. Artificial …
among people with dementia and have multiple negative consequences. Artificial …
Disparities by Socioeconomic Status and Diagnosis of Dementia in the Prescribing of Antipsychotics in a Real-World Data Population Over 60 Years of Age
J Mar, U Zubiagirre, I Larrañaga… - Journal of …, 2024 - journals.sagepub.com
Background: Antipsychotics are widely used in the elderly due to the high prevalence of
neuropsychiatric associated with dementia. Objective: To analyze potential disparities in …
neuropsychiatric associated with dementia. Objective: To analyze potential disparities in …