Research Article | OPEN ACCESS
Hidden Markvo Models Based Research on Lung Cancer Progress Modeling
Hui-Min Li, Li-Ying Fang, Pu Wang and Jian-Zhuo Yan
College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing
Research Journal of Applied Sciences, Engineering and Technology 2013 13:2470-2473
Received: December 23, 2012 | Accepted: January 25, 2013 | Published: August 05, 2013
Abstract
Considering of the requirements of medical clinical longitudinal data modeling, research is conducted on lung cancer post-surgical operation progress based on Hidden Markvo Models (HMM). This algorithm can do better analysis both in quality and quantity and experiments based on lung cancer followed up longitudinal data were performed, results demonstrate that it is an effective integrated analysis methods and is suitable for longitudinal data modeling and prognosis.
Keywords:
Followed up materials, hidden markvo models, longitudinal data, lung cancer progress, mathematical modeling,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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