Artificial Intelligence Techniques for the effective diagnosis of Alzheimer’s Disease: A Review
Author:
Funder
Vision Group on Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16928-z.pdf
Reference143 articles.
1. Ganasegeran K, Ch’ng A, Looi I (2021) Artificial intelligence for risk prediction of Alzheimer’s disease: a new promise for community health screening in the older aged. In: Handbook of decision support systems for neurological disorders, 1st edn (Chap. 5). Elsevier Academic Press, pp 71–88
2. El-Sappagh S, Abuhmed T, Alouffi B, Sahal R, Abdelhade N, Saleh H (2021) The role of medication data to enhance the prediction of Alzheimer’s progression using machine learning. Comput Intell Neurosci 2021:8439655. https://doi.org/10.1155/2021/8439655
3. Subetha T, Khilar R, Sahoo SK (2020) An early prediction and detection of Alzheimer’s disease: a comparative analysis on various assistive technologies. Int Conference Computational Intell Smart Power System SustainEnergy (CISPSSE) 2020:1–5. https://doi.org/10.1109/CISPSSE49931.2020.9212240
4. Bi X, Liu W, Liu H, Shang Q (2021) Artificial intelligence-based MRI images for brain in prediction of Alzheimer’s disease. J Healthcare Eng 2021(8198552):7. https://doi.org/10.1155/2021/8198552
5. Li H, Fan Y (2019) Early prediction of alzheimer’s disease dementia based on baseline hippocampal MRI and 1-year follow-up cognitive measures using deep recurrent neural networks. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Venice, Italy 2019:368–371. https://doi.org/10.1109/ISBI.2019.8759397
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