Mining intelligent solution to compensate missing data context of medical IoT devices-Reference-Cited by-同舟云学术

Mining intelligent solution to compensate missing data context of medical IoT devices

Published:2017-12-28 Issue:1 Volume:22 Page:219-224
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Fisher Paul S.,James Jimmy,Baek Jinsuk^ORCID,Kim Cheonshik

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

http://link.springer.com/article/10.1007/s00779-017-1106-1/fulltext.html

Reference14 articles.

1. Chiang M, Zhang T (2016) Fog and IoT: an overview of research opportunities. IEEE Internet of Things J 3(3):865–964

2. JG Ibrahim, H Chu, and MH Chen (2013) Missing data in clinical studies: issues and methods. Journal of Clinical Oncology, 30(26):3297–3303. https://doi.org/10.1200/JCO.2011.38.7589

3. M Bland (2015) An introduction to medical statistics, 4th ed. (OUP) Oxford University Press, Oxford, pp448

4. M Lichman (2013) UCI Machine Learning Repository, University of California, School of Information and Computer Science. http://archive.ics.uci.edu/ml/index.php

5. E Kampf, Data mining–handling missing values the database. https://developerzen.com/data-mining-handling-missing-values-the-database-bd2241882e72

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