English
Related papers

Related papers: Dementia in England: Quantifying and analysing mod…

200 papers

Alzheimer's dementia (AD) is of increasing concern as populations achieve longer lifespans. Many of the recent failed AD clinical trials recruiting cognitively intact individuals had a low number of AD events and were thus underpowered.…

Methodology · Statistics 2025-03-21 Julia Gallini , Zach Baucom , Yorghos Tripodis

Diabetes affects over 400 million people and is among the leading causes of morbidity worldwide. Identification of high-risk individuals can support early diagnosis and prevention of disease development through lifestyle changes. However,…

Machine Learning · Computer Science 2021-04-21 Nikola Dolezalova , Massimo Cairo , Alex Despotovic , Adam T. C. Booth , Angus B. Reed , Davide Morelli , David Plans

As other neurodegenerative diseases, Alzheimer's disease, the most frequent dementia in the elderly, is characterized by multiple progressive impairments in the brain structure and in clinical functions such as cognitive functioning and…

Methodology · Statistics 2019-10-21 Cécile Proust-Lima , Viviane Philipps , Jean-François Dartigues

Cognitive assistance may be valuable in applications for doctors and therapists that reduce costs and improve quality in healthcare systems. Use cases and scenarios include the assessment of dementia. In this paper, we present our approach…

Human-Computer Interaction · Computer Science 2017-09-07 Daniel Sonntag

Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but…

Signal Processing · Electrical Eng. & Systems 2024-11-28 Veronica Henao Isaza , David Aguillon , Carlos Andres Tobon Quintero , Francisco Lopera , John Fredy Ochoa Gomez

The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be able to predict illnesses that a patient is likely to…

Machine Learning · Computer Science 2013-07-05 Jenna Reps , Jonathan M. Garibaldi , Uwe Aickelin , Daniele Soria , Jack E. Gibson , Richard B. Hubbard

Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients with Parkinson's disease. Current…

Machine Learning · Computer Science 2024-02-20 Charlie Tran , Kai Shen , Kang Liu , Akshay Ashok , Adolfo Ramirez-Zamora , Jinghua Chen , Yulin Li , Ruogu Fang

One of the most prevalent symptoms among the elderly population, dementia, can be detected by classifiers trained on linguistic features extracted from narrative transcripts. However, these linguistic features are impacted in a similar but…

Machine Learning · Computer Science 2019-09-10 Zining Zhu , Jekaterina Novikova , Frank Rudzicz

Background: Frailty, a state of increased vulnerability to adverse health outcomes, has garnered significant attention in research and clinical practice. Existing constructs aggregate clinical features or health deficits into a single…

Applications · Statistics 2024-03-04 Lara Johnson , Bruce Guthrie , Paul A T Kelly , Atul Anand , Alan Marshall , Sohan Seth

The most frequent kind of dementia of the nervous system, Alzheimer's disease, weakens several brain processes (such as memory) and eventually results in death. The clinical study uses magnetic resonance imaging to diagnose AD. Deep…

Image and Video Processing · Electrical Eng. & Systems 2023-10-30 Sarasadat Foroughipoor , Kimia Moradi , Hamidreza Bolhasani

Improving health worldwide will require rigorous quantification of population-level trends in health status. However, global-level surveys are not available, forcing researchers to rely on fragmentary country-specific data of varying…

Methodology · Statistics 2014-05-20 Mariel M. Finucane , Christopher J. Paciorek , Goodarz Danaei , Majid Ezzati

To explore the mechanistic relationships between ageing, frailty and mortality, we developed a computational model in which possible health attributes are represented by the nodes of a complex network. Each node can be either damaged (i.e.…

Populations and Evolution · Quantitative Biology 2017-06-30 Andrew D. Rutenberg , Arnold B. Mitnitski , Spencer Farrell , Kenneth Rockwood

The UK Biobank is a large-scale health resource comprising genetic, environmental and medical information on approximately 500,000 volunteer participants in the UK, recruited at ages 40--69 during the years 2006--2010. The project monitors…

Applications · Statistics 2021-03-16 Malka Gorfine , Nir Keret , Asaf Ben Arie , David Zucker , Li Hsu

A significant number of studies apply acoustic and linguistic characteristics of human speech as prominent markers of dementia and depression. However, studies on discriminating depression from dementia are rare. Co-morbid depression is…

Computation and Language · Computer Science 2022-10-10 Malikeh Ehghaghi , Frank Rudzicz , Jekaterina Novikova

Dementia encompasses a group of syndromes that impair cognitive functions such as memory, reasoning, and the ability to perform daily activities. As populations globally age, over 10 million new dementia diagnoses are reported annually.…

Audio and Speech Processing · Electrical Eng. & Systems 2026-04-24 Marko Niemelä , Mikaela von Bonsdorff , Sami Äyrämö , Tommi Kärkkäinen

We jointly model longitudinal values of a psychometric test and diagnosis of dementia. The model is based on a continuous-time latent process representing cognitive ability. The link between the latent process and the observations is…

Statistics Theory · Mathematics 2007-06-13 Julien Ganiayre , Daniel Commenges , Luc Letenneur

The loss of neuronal cells in the central nervous system may happen in numerous neurodegenerative illnesses. Alzheimer's Disease (AD) is an intricate, irreversible, dynamic neurodegenerative sickness. It is the main source of age-related…

Neurons and Cognition · Quantitative Biology 2016-08-29 Ankur Patel , Grishma joshi , Rupali Ugile

Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cognitive impairment and dementia. Accurate and timely diagnosis is essential for effective treatment and management of this disease. In this…

Image and Video Processing · Electrical Eng. & Systems 2024-12-10 Mozhgan Naderi , Maryam Rastgarpour , Amir Reza Takhsha

Identifying preclinical biomarkers of neurodegenerative diseases remains a major challenge in aging research. In this study, we demonstrate that frequent "Don't know/can't remember" (DK) responses, often treated as missing data in…

Applications · Statistics 2025-12-16 Yukun Lu , Bingjie Li , Zhigang Yao

Alzheimer's Disease (AD) is a severe brain disorder, destroying memories and brain functions. AD causes chronically, progressively, and irreversibly cognitive declination and brain damages. The reliable and effective evaluation of early…

Image and Video Processing · Electrical Eng. & Systems 2021-01-07 Kuo Yang , Emad A. Mohammed