Multiple Machine Learning Models for Detection of Alzheimer’s Disease Using OASIS Dataset-Reference-Cited by-同舟云学术

Multiple Machine Learning Models for Detection of Alzheimer’s Disease Using OASIS Dataset

Published:2020 Issue: Volume: Page:614-622
ISSN:1868-4238
Container-title:Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation
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Author:

Baglat Preety,Salehi Ahmad Waleed,Gupta Ankit,Gupta Gaurav

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-64849-7_54

Reference18 articles.

1. Salehi, A.W., Baglat, P., Gupta, G.: Alzheimer’s disease diagnosis using deep learning techniques. Int. J. Eng. Adv. Technol. 9(3), 874–880 (2020). https://doi.org/10.35940/ijeat.c5345.029320

2. Bature, F., Guinn, B.A., Pang, D., Pappas, Y.: Signs and symptoms preceding the diagnosis of Alzheimer’s disease: a systematic scoping review of literature from 1937 to 2016. BMJ Open 7(8) (2017). https://doi.org/10.1136/bmjopen-2016-015746

3. Rathore, S., Habes, M., Iftikhar, M.A., Shacklett, A., Davatzikos, C.: A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer’s disease and its prodromal stages. Neuroimage 155(April), 530–548 (2017). https://doi.org/10.1016/j.neuroimage.2017.03.057

4. Gaugler, J., James, B., Johnson, T., Scholz, K., Weuve, J.: 2016 Alzheimer’s disease facts and figures. Alzheimer’s Dement 12(4), 459–509 (2016). https://doi.org/10.1016/j.jalz.2016.03.001

5. Alzheimer’s Association: “Memory Loss & 10 Early Signs of Alzheimer’s,” Alzheimer (2009). http://www.alz.org/alzheimers_disease_10_signs_of_alzheimers.asp

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