87   Artículos

 
en línea
Vera Afreixo, Ana Helena Tavares, Vera Enes, Miguel Pinheiro, Leonor Rodrigues and Gabriela Moura    
In this work, we aimed to establish a stable and accurate procedure with which to perform feature selection in datasets with a much higher number of predictors than individuals, as in genome-wide association studies. Due to the instability of feature sel... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Miranda Bellezza, Azzurra di Palma and Andrea Frosini    
Alzheimer?s disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive functions due to the deterioration of brain tissue. Current diagnostic methods are often invasive or costly, limiting their widespread use. Developing non-invasi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Md Easin Hasan and Amy Wagler    
Neuroimaging experts in biotech industries can benefit from using cutting-edge artificial intelligence techniques for Alzheimer?s disease (AD)- and dementia-stage prediction, even though it is difficult to anticipate the precise stage of dementia and AD.... ver más
Revista: AI    Formato: Electrónico

 
en línea
Artur Chudzik and Andrzej W. Przybyszewski    
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zeyuan Zhao, Ping Li, Yongjie Dai, Zhaoe Min and Lei Chen    
Alzheimer?s disease (AD) is an irreversible neurodegenerative disease. Providing trustworthy AD progression predictions for at-risk individuals contributes to early identification of AD patients and holds significant value in discovering effective treatm... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xibin Wang, Qiong Zhou, Hui Li and Mei Chen    
Imbalanced learning problems often occur in application scenarios and are additionally an important research direction in the field of machine learning. Traditional classifiers are substantially less effective for datasets with an imbalanced distribution... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fan Zhang, Melissa Petersen, Leigh Johnson, James Hall, Raymond F. Palmer, Sid E. O?Bryant and on behalf of the Health and Aging Brain Study (HABS?HD) Study Team    
The Health and Aging Brain Study?Health Disparities (HABS?HD) project seeks to understand the biological, social, and environmental factors that impact brain aging among diverse communities. A common issue for HABS?HD is missing data. It is impossible to... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen and Jiang Bian    
Alzheimer?s disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e., no sym... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Naghmeh Jafarpournaser, Mahmoud Reza Delavar and Maryam Noroozian    
The increasing prevalence of cognitive disorders among the elderly is a significant consequence of the global aging phenomenon. Wandering stands out as the most prominent and challenging symptom in these patients, with potential irreversible consequences... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xiaoli Yang, Yuxin Xia, Zhenwei Li, Lipei Liu, Zhipeng Fan and Jiayi Zhou    
Alzheimer?s disease (AD) is one of the most common irreversible brain diseases in the elderly. Mild cognitive impairment (MCI) is an early symptom of AD, and the early intervention of MCI may slow down the progress of AD. However, due to the subtle neuro... ver más
Revista: Applied Sciences    Formato: Electrónico

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