Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm

Beheshti, Iman; Demirel, Hasan; Matsuda, Hiroshi

doi:10.1016/j.compbiomed.2017.02.011

Cited by 187 publications

(103 citation statements)

References 66 publications

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“…Fourteen different algorithms were employed in [115][116][117][118][119][120][121][122][123][124][125][126]. The datasets of Alzheimer's disease and other forms of dementia have relatively small sample size.…”

Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

“…The datasets of Alzheimer's disease and other forms of dementia have relatively small sample size. Three applications, prediction of mild cognitive impairment patients for conversion to Alzheimer's disease [119,120], prediction of mild cognitive impairment [122][123][124] and identification of genes related to Alzheimer's disease [125,126] are required to have further improvement3.4. Tuberculosis Tuberculosis (TB) was a lethal infectious disease caused by bacteria mycobacterium tuberculosis that usually attacks the lung.…”

Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

“…Table 4 shows some studies in Alzheimer's disease and other forms of dementia via machine learning algorithms. The applications include diagnosis of Alzheimer's disease [115,116], diagnosis of dementias [117], and detection of Alzheimer's disease related regions [118], prediction of mild cognitive impairment patients for conversion to Alzheimer's disease [119,120], detection of dissociable multivariate morphological patterns [121], diagnosis of both Alzheimer's disease and mild cognitive impairment [122] and identification of genes related to Alzheimer's disease [125,126]. Alzheimer's disease: sensitivity = 85%, specificity = 82%, accuracy = 85%; Mild cognitive impairment: sensitivity = 84%, specificity = 81%, accuracy = 85% [125] Identification of genes related to Alzheimer's disease DT; QAR 33 90 genes are related to Alzheimer's disease [126] Identification of genes related to Alzheimer's disease ELM; RF; SVM 31 Sensitivity= 78.77%; Specificity= 83.1%; Accuracy = 74.67% DCNN = deep convolutional neural network; DT = decision tree; ELM = extreme learning machine; EM = expectation maximization; GA = genetic algorithm; LC = lasso classification; LDS = low density separation; LR = logistic regression; NBC = Naive Bayes classifier; QAR = quantitative association rules; RF = random forest; RLO = random linear oracle; RS = random subspace; SVM = support vector machine.…”

Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

“…Due to the multitude of smart healthcare applications, only four applications in the field of diseases diagnosis, cardiovascular diseases [82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99], diabetes mellitus [100][101][102][103][104][105][106][107][108][109][110][111][112], Alzheimer's disease and other forms of dementias [113][114][115][116][117][118][119][120][121][122][123][124][125][126], and tuberculosis [127][128][129][130][13...…”

Section: Introductionmentioning

confidence: 99%

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Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

et al. 2017

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Abstract:To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer's disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.

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Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

Section: Alzheimer's Disease and Other Forms Of Dementiamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

et al. 2017

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“…In volumetric MRI, manual and/or automated techniques can detect hippocampus and entorhinal cortex atrophy with concomitant dilatation of the temporal horns of the lateral ventricle. Other early neuroimaging biomarkers include task-free functional MRI (measures network failure quotient), diffusion tensor imaging (DTI) MRI, SPECT, FDG-PET, amyloid PET and tau PET [35] (Figure 2). …”

Section: Investigations and Biomarkersmentioning

confidence: 99%

Sex Hormones and Alzheimer’s Disease

Bahnasy¹,

El-Heneedy²,

El-Seidy³

2018

Sex Hormones in Neurodegenerative Processes and Diseases

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Alzheimer's disease (AD) is the most common type of dementia and the most common neurodegenerative disorder of elderly. It is not an accelerated form of aging but it is characterized by distinct temporospatial brain pathological changes, including amyloid plaques accumulation, neurofibrillary tangles deposition, synaptic loss and neuronal death with gross brain atrophy. These changes result in persistent progressive memory and cognitive decline interfering with the usual daily activities. AD is a multifactorial disorder results from the interaction of genetic, epigenetic, environmental and lifestyle factors. Estrogen, progesterone and androgen effects are important building stones in AD pathogenesis, and their effect in brain modulation and development results in different gender susceptibility to the disease. These sex hormones whether gonadal or neurosteroids (synthesized locally in the brain) play important neuroprotective roles influencing the individual's vulnerability to AD development, rate of mild cognitive impairment (MCI)/AD conversion and speed of AD progression. Despite the little therapeutic implications of hormonal replacement therapy in AD treatment, yet this topic still represents a challenging hopeful way to construct a strategy for the development of personalized, gender-specific AD management.

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Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

Lombardi

Crescioli

Cavedo

et al. 2020

Cochrane Database of Systematic Reviews

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BackgroundMild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic predementia phase of Alzheimer's disease dementia, characterised by cognitive and functional impairment not severe enough to fulfil the criteria for dementia. In clinical samples, people with amnestic MCI are at high risk of developing Alzheimer's disease dementia, with annual rates of progression from MCI to Alzheimer's disease estimated at approximately 10% to 15% compared with the base incidence rates of Alzheimer's disease dementia of 1% to 2% per year. ObjectivesTo assess the diagnostic accuracy of structural magnetic resonance imaging (MRI) for the early diagnosis of dementia due to Alzheimer's disease in people with MCI versus the clinical follow-up diagnosis of Alzheimer's disease dementia as a reference standard (delayed verification).To investigate sources of heterogeneity in accuracy, such as the use of qualitative visual assessment or quantitative volumetric measurements, including manual or automatic (MRI) techniques, or the length of follow-up, and age of participants.MRI was evaluated as an add-on test in addition to clinical diagnosis of MCI to improve early diagnosis of dementia due to Alzheimer's disease in people with MCI.Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment (Review)

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Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm

Cited by 187 publications

References 66 publications

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

Sex Hormones and Alzheimer’s Disease

Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

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