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2013 (Vol. 6, Issue: 13)
Article Information:

Hidden Markvo Models Based Research on Lung Cancer Progress Modeling

Hui-Min Li, Li-Ying Fang, Pu Wang and Jian-Zhuo Yan
Corresponding Author:  Hui-Min Li 

Key words:  Followed up materials, hidden markvo models, longitudinal data, lung cancer progress, mathematical modeling, ,
Vol. 6 , (13): 2470-2473
Submitted Accepted Published
December 23, 2012 January 25, 2013 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.
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  Cite this Reference:
Hui-Min Li, Li-Ying Fang, Pu Wang and Jian-Zhuo Yan, 2013. Hidden Markvo Models Based Research on Lung Cancer Progress Modeling.  Research Journal of Applied Sciences, Engineering and Technology, 6(13): 2470-2473.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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