Clinically Comprehensible Clustering of Change in Time Series-Reference-Cited by-同舟云学术

Clinically Comprehensible Clustering of Change in Time Series

Published:2019-01-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Australasian Computer Science Week Multiconference
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Author:

Merry Michael¹,Van Schalkwyk Johan²,Cumin David¹,Warren Jim¹

Affiliation:

1. University of Auckland, Auckland, New Zealand

2. Auckland City Hospital Auckland, New Zealand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3290688.3290723

Reference17 articles.

1. Amanajuha. {n. d.}. Change Detection Tutorial. https://github.com/amanahuja/change-detection-tutorial Amanajuha. {n. d.}. Change Detection Tutorial. https://github.com/amanahuja/change-detection-tutorial

2. Cusum Techniques for Quality Control

3. Two open access, high-quality datasets from anesthetic records

4. Deloitte. 2015. Independent review of New Zealand's Electronic Health Records Strategy. http://healthitboard.health.govt.nz/system/files/documents/publications/independent_review_electronic_health_record_strategy.pdf Deloitte. 2015. Independent review of New Zealand's Electronic Health Records Strategy. http://healthitboard.health.govt.nz/system/files/documents/publications/independent_review_electronic_health_record_strategy.pdf

5. Chun-Ju Hsiao and Esther Hing. 2014. Use and characteristics of electronic health record systems among office-based physician practices: United States 2001--2013. NCHS data brief 143 (2014) 1--8. http://www.ncbi.nlm.nih.gov/pubmed/24439138%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/23384787 Chun-Ju Hsiao and Esther Hing. 2014. Use and characteristics of electronic health record systems among office-based physician practices: United States 2001--2013. NCHS data brief 143 (2014) 1--8. http://www.ncbi.nlm.nih.gov/pubmed/24439138%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/23384787