Hidden markvo models based research on lung cancer progress modeling - Details

Author：

Li, H.-M. (Li, H.-M..) | Fang, L.-Y. (Fang, L.-Y..) | Wang, P. (Wang, P..) | Yan, J.-Z. (Yan, J.-Z..)

Indexed by：

Scopus

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.©　Maxwell　Scientific　Organization,　2013.

Keyword：

Followed up materials; Hidden markvo models; Longitudinal data; Lung cancer progress; Mathematical modeling

Author Community：

[ 1 ] [Li, H.-M.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Fang, L.-Y.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Wang, P.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Yan, J.-Z.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

Reprint Author's Address：

[Li, H.-M.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

Email：

Show more details

Related Keywords：

Source ：

Research Journal of Applied Sciences, Engineering and Technology

ISSN： 2040-7459

Year： 2013

Issue： 13

Volume： 6

Page： 2470-2473

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 2

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

Get Fulltext

DOI Library Discovery Baidu Scholar Search SCOPUS

Type
Departments

All Years Choose Year From to