Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour-Reference-Cited by-同舟云学术

Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour

Published:2018 Issue: Volume: Page:181-193
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Bian Chao,Khan Shehroz S.^ORCID,Mihailidis Alex

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-89656-4_15

Reference27 articles.

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2. Kirste, T., Hoffmeyer, A., Koldrack, P., Bauer, A., Schubert, S., Schröder, S., Teipel, S.: Detecting the effect of Alzheimer’s disease on everyday motion behavior. J. Alzheimer’s Dis. 38(1), 121–132 (2014)

3. Janjua, Z.H., Riboni, D., Bettini, C.: Towards automatic induction of abnormal behavioral patterns for recognizing mild cognitive impairment. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 143–148. ACM (2016)

4. Karakostas, A., Meditskos, G., Stavropoulos, T.G., Kompatsiaris, I., Tsolaki, M.: A sensor-based framework to support clinicians in Dementia assessment: the results of a pilot study. Adv. Intell. Syst. Comput. 376, 213–221 (2015)

5. Dem@Care: Dem@Care Project. http://www.demcare.eu/ . Accessed on 13 Aug 2017

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