Discovering Associative Patterns in Healthcare Data-Reference-Cited by-同舟云学术

Discovering Associative Patterns in Healthcare Data

Published:2021-09-24 Issue: Volume: Page:371-379
ISSN:2367-3370
Container-title:Proceedings of Sixth International Congress on Information and Communication Technology
language:
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Author:

de Castro Rodrigues Diego^ORCID,Siqueira Vilson^ORCID,Tavares Fabiano^ORCID,Lima Márcio^ORCID,Oliveira Frederico^ORCID,Osco Lucas^ORCID,Junior Wilmar^ORCID,Costa Ronaldo^ORCID,Barbosa Rommel^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2377-6_35

Reference11 articles.

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3. Han J, Kamber M, Pei J (2012) Chapter 7—advanced pattern mining. In: Han J, Kamber M, Pei J (eds) Data mining, 3rd edn. The Morgan Kaufmann series in data management systems, pp 279–325. Morgan Kaufmann, Boston. https://doi.org/10.1016/B978-0-12-381479-1.00007-1

4. Jeong H, Ohno Y (2019) Cordless monitoring system for respiratory and heart rates in bed by using large-scale pressure sensor sheet. Smart Health 13:100,057. https://doi.org/10.1016/j.smhl.2018.07.025

5. Lakshmi K, Vadivu G (2017) Extracting association rules from medical health records using multi-criteria decision analysis. Procedia Comput Sci 115:290–295. https://doi.org/10.1016/j.procs.2017.09.137. 7th international conference on advances in computing & communications, ICACC-2017, Cochin, India, 22–24 Aug 2017

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