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Alzheimer's disease (AD) is an irreversible and progressive brain disease that can be stopped or slowed down with medical treatment. Language changes serve as a sign that a patient's cognitive functions have been impacted, potentially…

Computation and Language · Computer Science 2018-04-19 Sweta Karlekar , Tong Niu , Mohit Bansal

Alzheimer's disease (AD) is an irreversible brain disease that can dramatically reduce quality of life, most commonly manifesting in older adults and eventually leading to the need for full-time care. Early detection is fundamental to…

Computation and Language · Computer Science 2019-06-14 Flavio Di Palo , Natalie Parde

Alzheimer's Disease (AD) is nowadays the most common form of dementia, and its automatic detection can help to identify symptoms at early stages, so that preventive actions can be carried out. Moreover, non-intrusive techniques based on…

Computation and Language · Computer Science 2020-11-21 Mireia Farrús , Joan Codina-Filbà

Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is generally considered as a consequence of AD, it might also…

Neurons and Cognition · Quantitative Biology 2020-06-26 Yejin Kim , Xiaoqian Jiang , Luyao Chen , Xiaojin Li , Licong Cui

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. We aimed to conduct a systematic literature review (SLR) of…

Quantitative Methods · Quantitative Biology 2021-08-31 Sayantan Kumar , Inez Oh , Suzanne Schindler , Albert M Lai , Philip R O Payne , Aditi Gupta

Objective: this study has a twofold goal. First, it aims to improve the understanding of the impact of Dementia of type Alzheimer's Disease (AD) on different aspects of the lexicon. Second, it aims to demonstrate that such aspects of the…

Computation and Language · Computer Science 2023-07-18 M. Zakaria Kurdi

Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle factor changes and interventions. Analyzing electronic health records (EHR) of patients with AD can help us better…

Computation and Language · Computer Science 2021-01-26 Zitao Shen , Yoonkwon Yi , Anusha Bompelli , Fang Yu , Yanshan Wang , Rui Zhang

Alzheimer's disease (AD) is a common form of dementia that severely impacts patient health. As AD impairs the patient's language understanding and expression ability, the speech of AD patients can serve as an indicator of this disease. This…

Audio and Speech Processing · Electrical Eng. & Systems 2023-07-07 Hongmin Cai , Xiaoke Huang , Zhengliang Liu , Wenxiong Liao , Haixing Dai , Zihao Wu , Dajiang Zhu , Hui Ren , Quanzheng Li , Tianming Liu , Xiang Li

Alzheimer's disease (AD) is the most common neurodegenerative disease in older people. Despite considerable efforts to find a cure for AD, there is a 99.6% failure rate of clinical trials for AD drugs, likely because AD patients cannot…

Machine Learning · Computer Science 2019-03-25 Jack Albright

Dementia is under-recognized in the community, under-diagnosed by healthcare professionals, and under-coded in claims data. Information on cognitive dysfunction, however, is often found in unstructured clinician notes within medical records…

Accurate extraction of Alzheimer's Disease and Related Dementias (ADRD) phenotypes from electronic health records (EHR) is critical for early-stage detection and disease staging. However, this information is usually embedded in unstructured…

Artificial Intelligence · Computer Science 2026-03-17 Mingchen Shao , Yuzhang Xie , Carl Yang , Jiaying Lu

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

Dementia is a growing problem as our society ages, and detection methods are often invasive and expensive. Recent deep-learning techniques can offer a faster diagnosis and have shown promising results. However, they require large amounts of…

Computation and Language · Computer Science 2022-07-19 Anna Hlédiková , Dominika Woszczyk , Alican Akman , Soteris Demetriou , Björn Schuller

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people worldwide. Low-cost, accurate identification of key markers of AD is crucial for timely diagnosis and intervention. Language impairment is one…

Computation and Language · Computer Science 2025-05-27 Tingyu Mo , Jacqueline C. K. Lam , Victor O. K. Li , Lawrence Y. L. Cheung

Alzheimer's dementia (AD) is a neurodegenerative disorder with cognitive decline that commonly impacts language ability. This work extends the paired perplexity approach to detecting AD by using a recent large language model (LLM), the…

Computation and Language · Computer Science 2025-06-12 Yao Xiao , Heidi Christensen , Stefan Goetze

Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million individuals across the globe and is one of the leading causes of deaths globally. It is projected that by 2050, the number of people affected by the…

Machine Learning · Computer Science 2021-10-26 Yash Kumar , Piyush Maheshwari , Shreyansh Joshi , Veeky Baths

Alzheimer's disease (AD) stands as the predominant cause of dementia, characterized by a gradual decline in speech and language capabilities. Recent deep-learning advancements have facilitated automated AD detection through spontaneous…

Computation and Language · Computer Science 2024-09-20 Chin-Po Chen , Jeng-Lin Li

Alzheimer's disease (AD) is the fifth-leading cause of death among Americans aged 65 and older. Screening and early detection of AD and related dementias (ADRD) are critical for timely intervention and for identifying clinical trial…

Artificial Intelligence · Computer Science 2024-05-29 Jiankun Wang , Sumyeong Ahn , Taykhoom Dalal , Xiaodan Zhang , Weishen Pan , Qiannan Zhang , Bin Chen , Hiroko H. Dodge , Fei Wang , Jiayu Zhou

Alzheimer's Disease (AD) is the most common type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the manual study of MRI…

Machine Learning · Computer Science 2019-12-11 Rishu Garg , Rekh Ram Janghel , Yogesh Rathore

The average life expectancy is increasing globally due to advancements in medical technology, preventive health care, and a growing emphasis on gerontological health. Therefore, developing technologies that detect and track aging-associated…

Computational Engineering, Finance, and Science · Computer Science 2022-09-14 Saurav K. Aryal , Howard Prioleau , Legand Burge
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