Machine learning techniques for the diagnosis of Alzheimer's disease: A review
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …
elderly population. Efficient automated techniques are needed for early diagnosis of …
Knowledge discovery in medicine: Current issue and future trend
N Esfandiari, MR Babavalian, AME Moghadam… - Expert Systems with …, 2014 - Elsevier
Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …
challenges that make traditional method improper for knowledge extraction. Data mining is …
Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population
Alzheimer's Disease (AD) and other neurodegenerative diseases affect over 20 million
people worldwide, and this number is projected to significantly increase in the coming …
people worldwide, and this number is projected to significantly increase in the coming …
A novel approach of CT images feature analysis and prediction to screen for corona virus disease (COVID-19)
AA Farid, GI Selim, HAA Khater - 2020 - preprints.org
The paper demonstrates the analysis of Corona Virus Disease based on a probabilistic
model. It involves a technique for classification and prediction by recognizing typical and …
model. It involves a technique for classification and prediction by recognizing typical and …
Neuroimaging and machine learning for dementia diagnosis: recent advancements and future prospects
Dementia, a chronic and progressive cognitive declination of brain function caused by
disease or impairment, is becoming more prevalent due to the aging population. A major …
disease or impairment, is becoming more prevalent due to the aging population. A major …
On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
Comparative analysis of various machine learning algorithms for detecting dementia
Nowadays, there has been recent interest in applying machine learning techniques to the
neurodegenerative disorders. Dementia is one such emerging global health issue and its …
neurodegenerative disorders. Dementia is one such emerging global health issue and its …
NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer's disease
This paper presents a novel computer-aided diagnosis (CAD) technique for the early
diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) …
diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) …
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease
In Alzheimer's disease (AD) diagnosis process, functional brain image modalities such as
Single-Photon Emission Computed Tomography (SPECT) and Positron Emission …
Single-Photon Emission Computed Tomography (SPECT) and Positron Emission …
Dental diagnosis from X-ray images: an expert system based on fuzzy computing
Background Computerized medical diagnosis systems from X-Ray images are of great
interest to physicians for accurate decision making of possible diseases and treatments …
interest to physicians for accurate decision making of possible diseases and treatments …