Devising an interpretable calibrated scale to quantitatively assess the dementia stage of subjects with alzheimer's disease: A machine learning approach-Reference-Cited by-同舟云学术

Devising an interpretable calibrated scale to quantitatively assess the dementia stage of subjects with alzheimer's disease: A machine learning approach

Published:2017 Issue: Volume:6 Page:28-35
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Aditya C.R.,Pande M.B. Sanjay

Publisher

Elsevier BV

Subject

Health Informatics

Reference52 articles.

1. Alz.org, Alzheimer's and dementia., Online URL 〈http://www.alz.org/alzheimers_disease_what_is_alzheimers.asp〉. [accessed 2.02.16]

2. 01-02-01: forecasting the global prevalence and burden of alzheimer's disease;Brookmeyer;Alzheimer'S Dement,2007

3. Alzheimer.ca, World health organisation repot, Online URL 〈http://www.alzheimer.ca/en/Get-involved/Raise-your-voice/WHO-report-dementia-2012〉. [accessed 24.01.13]

4. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal;DeCarli;Neurobiol Aging,2005

5. Normative estimates of cross-sectional and longitudinal brain volume decline in aging and ad;Fotenos;Neurology,2005

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Ensemble Classification Model to Predict Alzheimer’s Incidence as Multiple Classes;International Research Journal of Multidisciplinary Technovation;2024-05-16

2. A systematic literature review of machine learning approaches for class-wise recognition of Alzheimer’s disease using neuroimaging-based brain disorder analysis;Multimedia Tools and Applications;2024-04-24

3. Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification;Applied Sciences;2023-07-03

4. Epileptic Seizure Detection Using Deep Learning Architecture;Advances in Sustainability Science and Technology;2022

5. A Survey on Alzheimer’s Disease Detection Using Machine Learning Models;Mobile Computing and Sustainable Informatics;2022