Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but earl...Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches.展开更多
Quality of life (QOL) is an important topic in social and medical sciences, it has a multidimensional nature and is influenced by many factors. Aim of the Work: In this study we want to assess the impact of cognitive ...Quality of life (QOL) is an important topic in social and medical sciences, it has a multidimensional nature and is influenced by many factors. Aim of the Work: In this study we want to assess the impact of cognitive impairment on the health related quality of life (HR-QOL) of community dwelling non demented elderly. Subject and Method: 115 non demented elderly, 60 years and older recruited from outpatient geriatric clinic at Al Mansoura General Hospital, Dakahlia, Egypt. Each participant underwent, comprehensive geriatric assessment, assessing cognitive function using the mini-mental state examination (MMSE) and montreal cognitive function test, assessing the health related quality of life (HR-QOL) by the RAND-36 health survey. Results: We found that the elderly with impaired cognition by both MMSE and Montreal test were significantly older;the ones with lower education, with more depressive symptoms, had more functional impairment and had lower HR-QOL scores than the elderly with normal cognitive function, after controlling for confounders still cognition was a determinant of HR-QOL. Also by linear correlation coefficient a significant correlation between HR-QOL and age, function, cognition and depression was found. Conclusion: Cognition affects significantly HR-QOL of the elderly, so we can say that interventions targeting cognition in the elderly can significantly improve their QOL.展开更多
文摘Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches.
文摘Quality of life (QOL) is an important topic in social and medical sciences, it has a multidimensional nature and is influenced by many factors. Aim of the Work: In this study we want to assess the impact of cognitive impairment on the health related quality of life (HR-QOL) of community dwelling non demented elderly. Subject and Method: 115 non demented elderly, 60 years and older recruited from outpatient geriatric clinic at Al Mansoura General Hospital, Dakahlia, Egypt. Each participant underwent, comprehensive geriatric assessment, assessing cognitive function using the mini-mental state examination (MMSE) and montreal cognitive function test, assessing the health related quality of life (HR-QOL) by the RAND-36 health survey. Results: We found that the elderly with impaired cognition by both MMSE and Montreal test were significantly older;the ones with lower education, with more depressive symptoms, had more functional impairment and had lower HR-QOL scores than the elderly with normal cognitive function, after controlling for confounders still cognition was a determinant of HR-QOL. Also by linear correlation coefficient a significant correlation between HR-QOL and age, function, cognition and depression was found. Conclusion: Cognition affects significantly HR-QOL of the elderly, so we can say that interventions targeting cognition in the elderly can significantly improve their QOL.
