Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview-Reference-Cited by-同舟云学术

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Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview

Published:2020-10-08 Issue: Volume: Page:171-192
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
language:
Short-container-title:

Author:

Ahmed Mobyen Uddin,Barua Shaibal,Begum Shahina

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-54932-9_7

Reference58 articles.

1. Begum, S., Ahmed, M.U., Funk, P., Xiong, N., Von Schéele, B.: A case-based decision support system for individual stress diagnosis using fuzzy similarity matching. Comput. Intell. 25(3), 180–195 (2009). https://doi.org/10.1111/j.1467-8640.2009.00337.x

2. Corchado, J.M., Bajo, J., Abraham, A.: GerAmi: improving healthcare delivery in geriatric residences. IEEE Intell. Syst. 23(2), 19–25 (2008). https://doi.org/10.1109/MIS.2008.27

3. Marling, C., Whitehouse, P.: Case-based reasoning in the care of Alzheimer’s disease patients. Case-Based Reasoning Research and Development, pp. 702–715. Springer, Berlin Heidelberg (2001)

4. Marling, C., Shubrook, J., Schwartz, F.: Case-based decision support for patients with type 1 diabetes on insulin pump therapy. Advances in Case-Based Reasoning, pp. 325–339. Springer, Berlin Heidelberg (2008)

5. Marling, C., Wiley, M., Cooper, T., Bunescu, R., Shubrook, J., Schwartz, F.: The 4 diabetes support system: a case study in CBR research and development. In: Case-Based Reasoning Research and Development, pp 137–150. Springer, Berlin Heidelberg (2011)

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1. Culture intelligent workflow, structure, and steps;Frontiers in Artificial Intelligence;2023-02-28

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