A Gaussian Mixture Model Approach to Grouping Patients According to their Hospital Length of Stay-Reference-Cited by-同舟云学术

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A Gaussian Mixture Model Approach to Grouping Patients According to their Hospital Length of Stay

Published:2008-06 Issue: Volume: Page:
ISSN:
Container-title:2008 21st IEEE International Symposium on Computer-Based Medical Systems
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Author:

Abbi Revlin,El-Darzi Elia,Vasilakis Christos,Millard Peter

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4561933/4561934/04562050.pdf?arnumber=4562050

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reduction of Healthcare Resources by Classifying Patient's Data;2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH);2022-05

2. Forecast of Medical Costs in Health Companies Using Models Based on Advanced Analytics;Algorithms;2022-03-23

3. An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication;Communications in Statistics - Theory and Methods;2013-08-18

4. Trend Analysis of Length of Stay Data via Phase-Type Models;International Journal of Knowledge Discovery in Bioinformatics;2011-07

5. Length of Stay-Based Clustering Methods for Patient Grouping;Studies in Computational Intelligence

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