Clustering Analysis of Patients Kdigo Scoring Time Series Data Based on DTW Algorithm-Reference-Cited by-同舟云学术

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Clustering Analysis of Patients Kdigo Scoring Time Series Data Based on DTW Algorithm

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
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Author:

Li Bo¹,Mao Jingkun²,Li Guanggang³

Affiliation:

1. College of Electrical Engineering and Automation, Tianjin University of Technology,Tianjin,China,300384

2. Tianjin University of Technology,Department of Automation,Tianjin,China,300384

3. The Seventh Medical Center of the General Hospital of the People's Liberation Army of China,Beijing,100010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239757.pdf?arnumber=10239757

Reference15 articles.

1. Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group;kellum;KDIGO clinical practice guideline for acute kidney,2012

2. MIMIC-III, a freely accessible critical care database

3. Flexible Dynamic Time Warping for Time Series Classification[C];che;Int'l Conf on Conceptual Structures,2015

4. Using dynamic time warping to find patterns in time series[J];berndt;KDD Workshop,1994

5. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

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