Data Mining in medicine is an emerging field of great importance to provide a prognosis and
deeper understanding of disease classification, specifically in Mental Health areas. The …

Parametric FDG‐PET images offer the potential for automated identification of the different
dementia syndromes. However, various existing image features and classifiers have their …

Purpose Recent technological advancements in data acquisition tools allowed
neuroscientists to acquire different modality data to diagnosis Alzheimer's disease (AD) …

Machine learning-based models are widely used for neuroimage-based dementia
recognition and achieve great success. However, most models omit the interpretability that is …

Parametric FDG-PET data offer the potential for an automated identification of the different
dementia syndromes. Principal component analysis (PCA) can be used for feature extraction …

The area of Data mining is expanding day by day since it provides interesting insights
covering many sectors under it, one of it being the Medical Science area. Under the Medical …

Alzheimer's Disease (AD) is one major cause of dementia. Previous studies have indicated
that the use of features derived from Positron Emission Tomography (PET) scans lead to …

Multi-kernel learning machine (MKLM) has recently been introduced to the research of
computer-aided dementia identification and pathology progress tracking. Despite its good …

FDG-PET imaging offers the potential for an image-based automated identification of
different dementia syndromes. However, various global and local FDG-PET image features …

Alzheimer's disease (AD) is one major cause of dementia. Previous studies have indicated
that the use of features derived from Positron Emission Tomography (PET) scans lead to …