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Alzheimer's disease detection requires expensive neuroimaging or invasive procedures, limiting accessibility. This study explores whether deep learning can enable non-invasive Alzheimer's disease detection through handwriting analysis.…

图像与视频处理 · 电气工程与系统科学 2025-08-19 Emanuele Nardone , Tiziana D'Alessandro , Francesco Fontanella , Claudio De Stefano

Using kinematic properties of handwriting to support the diagnosis of neurodegenerative disease is a real challenge: non-invasive detection techniques combined with machine learning approaches promise big steps forward in this research…

计算与语言 · 计算机科学 2024-01-08 Nicole Dalia Cilia , Claudio De Stefano , Francesco Fontanella , Sabato Marco Siniscalchi

Alzheimers Disease AD is an acute neuro disease that degenerates the brain cells and thus leads to memory loss progressively. It is a fatal brain disease that mostly affects the elderly. It steers the decline of cognitive and biological…

机器学习 · 计算机科学 2023-04-20 Nair Bini Balakrishnan , P. S. Sreeja , Jisha Jose Panackal

Quantum machine learning is a new research field combining quantum information science and machine learning. Quantum computing technologies appear to be particularly well-suited for addressing problems in the health sector efficiently. They…

新兴技术 · 计算机科学 2024-12-24 Giacomo Cappiello , Filippo Caruso

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent…

图像与视频处理 · 电气工程与系统科学 2025-02-11 Nasser A Alsadhan

Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to perform day to day activities. The clinical manifestations of Alzheimer's disease are characterized by heterogeneity in age, disease span, progression…

机器学习 · 计算机科学 2018-12-07 Vipul Satone , Rachneet Kaur , Faraz Faghri , Mike A Nalls , Andrew B Singleton , Roy H Campbell

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, primarily affecting the elderly population and leading to significant cognitive decline. This decline manifests in various mental faculties such as attention,…

机器学习 · 计算机科学 2025-04-22 Emine Akpinar

Alzheimer's patients gradually lose their ability to think, behave, and interact with others. Medical history, laboratory tests, daily activities, and personality changes can all be used to diagnose the disorder. A series of time-consuming…

机器学习 · 计算机科学 2022-12-02 Md. Sharifur Rahman , Professor Girijesh Prasad

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…

神经元与认知 · 定量生物学 2022-11-14 Zibin Zhao

Alzheimer's Disease (AD) ravages the cognitive ability of more than 5 million Americans and creates an enormous strain on the health care system. This paper proposes a machine learning predictive model for AD development without medical…

定量方法 · 定量生物学 2020-06-17 Courtney Cochrane , David Castineira , Nisreen Shiban , Pavlos Protopapas

Alzheimer's disease is a human brain disease that affects a significant fraction of the population by causing problems with short-term memory, thinking, spatial orientation and behavior, memory loss and other intellectual abilities. Up to…

神经元与认知 · 定量生物学 2012-10-02 Athanasios Alexiou , Panayiotis Vlamos

Early detection of Alzheimer disease is crucial for deploying interventions and slowing the disease progression. A lot of machine learning and deep learning algorithms have been explored in the past decade with the aim of building an…

图像与视频处理 · 电气工程与系统科学 2022-09-26 Narotam Singh , Patteshwari. D , Neha Soni , Amita Kapoor

In the past decade, there has been a surge in research examining the use of voice and speech analysis as a means of detecting neurodegenerative diseases such as Alzheimer's. Many studies have shown that certain acoustic features can be used…

音频与语音处理 · 电气工程与系统科学 2023-07-20 Vrindha M. K. , Geethu V. , Anurenjan P. R. , Deepak S. , Sreeni K. G.

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

信号处理 · 电气工程与系统科学 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

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…

图像与视频处理 · 电气工程与系统科学 2023-10-30 Sarasadat Foroughipoor , Kimia Moradi , Hamidreza Bolhasani

Alzheimer's disease is a progressive neurodegenerative disorder that gradually deprives the patient of cognitive function and can end in death. With the advancement of technology today, it is possible to detect Alzheimer's disease through…

图像与视频处理 · 电气工程与系统科学 2022-07-05 Muhammad Wildan Oktavian , Novanto Yudistira , Achmad Ridok

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8 to 4.4 years after…

Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will…

机器学习 · 计算机科学 2023-02-17 Shrish Pellakur , Nelly Elsayed , Zag ElSayed , Murat Ozer

The rapid global aging trend has led to an increase in dementia cases, including Alzheimer's disease, underscoring the urgent need for early and accurate diagnostic methods. Traditional diagnostic techniques, such as cognitive tests,…

机器学习 · 计算机科学 2024-09-06 Juan A. Berrios Moya

Early and reliable detection of Alzheimer's disease (AD) is crucial for timely clinical intervention and improved patient management. It also supports the evaluation of emerging therapeutic strategies. In this paper, we propose a Low-Rank…

机器学习 · 计算机科学 2026-05-07 Wu Wang , Yuang Cheng , Fouzi Harrou , Ying Sun
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