Hidden markvo models based research on lung cancer progress modeling - 文章详情页

作者：

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

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Scopus

摘要：

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.

关键词：

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

作者机构：

[ 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

通讯作者信息：

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

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