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

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Alzheimer's disease (AD) is the most common cause of dementia. An early detection is crucial for slowing down the disease and mitigating risks related to the progression. While the combination of MRI and FDG-PET is the best image-based tool…

Image and Video Processing · Electrical Eng. & Systems 2022-06-17 Marcel Kollovieh , Matthias Keicher , Stephan Wunderlich , Hendrik Burwinkel , Thomas Wendler , Nassir Navab

Mild cognitive impairment (MCI) leading to dementia results in a constellation of psychiatric disorders including depression, mood disorders, schizophrenia and others. With increasing age, mild cognitive impairment leads to increased…

Neurons and Cognition · Quantitative Biology 2023-08-10 Sheng Mai

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high variability in patient data, limited access to specialized diagnostic tests, and overreliance on single-type indicators. These challenges are…

Quantitative Methods · Quantitative Biology 2025-03-05 Yizong Xing , Dhita Putri Pratama , Yuke Wang , Yufan Zhang , Brian E. Chapman

The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our machine learning (ML) models captured facial, acoustic,…

Agitation is one of the neuropsychiatric symptoms with high prevalence in dementia which can negatively impact the Activities of Daily Living (ADL) and the independence of individuals. Detecting agitation episodes can assist in providing…

Alzheimer's Disease (AD), as the most devastating neurodegenerative disease worldwide, has reached nearly 10 million new cases annually. Current technology provides unprecedented opportunities to study the progression and etiology of this…

Neurons and Cognition · Quantitative Biology 2022-11-14 Zibin Zhao

Worldwide, many millions of people die suddenly and unexpectedly each year, either with or without a prior history of cardiovascular disease. Such events are sparse (once in a lifetime), many victims will not have had prior investigations…

Machine Learning · Computer Science 2023-09-06 Yola Jones , Fani Deligianni , Jeff Dalton , Pierpaolo Pellicori , John G F Cleland

The close link between cognitive decline and language has fostered long-standing collaboration between the NLP and medical communities in dementia research. To examine this, we reviewed over 240 papers applying NLP to dementia-related…

Computation and Language · Computer Science 2025-02-11 Lotem Peled-Cohen , Roi Reichart

Dementia is a neurodegenerative condition that combines several diseases and impacts millions around the world and those around them. Although cognitive impairment is profoundly disabling, it is the noncognitive features of dementia,…

Multimedia · Computer Science 2025-08-08 Abeer Badawi , Somayya Elmoghazy , Samira Choudhury , Sara Elgazzar , Khalid Elgazzar , Amer Burhan

Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it significantly impairs the individual's ability to perform daily tasks…

Machine Learning · Computer Science 2023-11-06 Md Gulzar Hussain , Ye Shiren

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Dementia is a syndrome, generally of a chronic nature characterized by a deterioration in cognitive function, especially in the geriatric population and is severe enough to impact their daily activities. Early diagnosis of dementia is…

Audio and Speech Processing · Electrical Eng. & Systems 2020-07-21 Rupayan Chakraborty , Meghna Pandharipande , Chitralekha Bhat , Sunil Kumar Kopparapu

Worldwide exposure to fine atmospheric particles can exasperate the risk of a wide range of heart and respiratory diseases, due to their ability to penetrate deep into the lungs and blood streams. Epidemiological studies in Europe and…

Atmospheric and Oceanic Physics · Physics 2019-11-27 Parya Broomandi , Xueyu Geng , Weisi Guo , Jong Kim , Alessio Pagani , David Topping

To build a dementia classification model for middle-aged and elderly Brazilians, implemented in Python, combining variable selection and multivariable analysis, using low-cost variables with modification potential. Observational study with…

Machine Learning · Computer Science 2026-02-20 F. S. Menezes , M. C. F. G. Barretto , E. Q. C. Garcia , T. A. E. Ferreira , J. G. Alvez

A novel framework is proposed for handling the complex task of modelling and analysis of longitudinal, multivariate, heterogeneous clinical data. This method uses temporal abstraction to convert the data into a more appropriate form for…

Machine Learning · Computer Science 2025-05-09 Annette Spooner , Gelareh Mohammadi , Perminder S. Sachdev , Henry Brodaty , Arcot Sowmya

Mild Cognitive Impairment (MCI) affects 12-18% of individuals over 60. MCI patients exhibit cognitive dysfunctions without significant daily functional loss. While MCI may progress to dementia, predicting this transition remains a clinical…

Machine Learning · Computer Science 2025-04-15 Gabriele Civitarese , Michele Fiori , Andrea Arighi , Daniela Galimberti , Graziana Florio , Claudio Bettini

Background. Alzheimer's disease and related dementia (ADRD) are characterized by multiple and progressive anatomo clinical changes. Yet, modeling changes over disease course from cohort data is challenging as the usual timescales are…

This paper explores deterioration in Alzheimers Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitive Impairment), with outcome of deterioration at final visit…

Machine Learning · Computer Science 2023-06-21 Henry Musto , Daniel Stamate , Ida Pu , Daniel Stahl

Road traffic accidents remain a major public health challenge worldwide, with urbanisation and population density identified as key factors influencing risk. This study analyses monthly accident data from 2009 to 2023 across 632…

Physics and Society · Physics 2025-10-10 Isabel Copsey , Quentin Hanley , Jack Sutton

Nearly 300,000 older adults experience a hip fracture every year, the majority of which occur following a fall. Unfortunately, recovery after fall-related trauma such as hip fracture is poor, where older adults diagnosed with Alzheimer's…

Methodology · Statistics 2024-02-05 Biyi Shen , Haoyu Ren , Michelle Shardell , Jason Falvey , Chixiang Chen
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