Improving Alzheimer’s disease classification by performing data fusion with vascular dementia and stroke data-Reference-Cited by-同舟云学术

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Improving Alzheimer’s disease classification by performing data fusion with vascular dementia and stroke data

Published:2020-09-29 Issue:6 Volume:33 Page:1015-1032
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Bosnić Zoran¹,Bratić Brankica²,Ivanović Mirjana²,Semnic Marija³⁴,Oder Iztok¹,Kurbalija Vladimir²,Vujanić Stankov Tijana³⁴,Bugarski Ignjatović Vojislava³⁴

Affiliation:

1. University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia

2. University of Novi Sad, Faculty of Sciences, Novi Sad, Serbia

3. University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia

4. Clinic of Neurology, Clinical Centre of Vojvodina, Novi Sad, Serbia

Funder

Ministry of Education, Science and Technological Development of the Republic of Serbia

Provincial Secretariat of Vojvodina for Higher Education and Scientific Research

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2020.1818290

Reference45 articles.

1. 2016 Alzheimer's disease facts and figures

2. Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis

3. Effective Diagnosis of Alzheimer’s Disease via Multimodal Fusion Analysis Framework

4. Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors

5. Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer's Disease Diagnostic and Treatment Centers

Cited by 3 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. Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment;International Journal of Medical Informatics;2023-10

2. Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques;Sci;2023-03-21

3. High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis;Frontiers in Neuroscience;2021-03-12

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