2014 Fiscal Year Final Research Report
Development of statistical machine learning method for pearsonalized medichine in caner research
| Project/Area Number |
23700334
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | University of Yamanashi |
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Principal Investigator |
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| Project Period (FY) |
2011-04-28 – 2015-03-31
|
| Keywords | 樹木構造接近法 / 多変量適応型回帰スプライン / ルールアンサンブル法 / 縮小推定 / がん臨床研究 / 個別化医療 |
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| Outline of Final Research Achievements |
In our study, we developed newly statistical models for a personalized medicine in cancer research. We focused on two kind of statistical approaches: (1) predictive performance approach, and (2) easily interpretative approach. In former approach, we developed the rule ensemble method for survival outcome. Our proposed method and applications were given two kind of awards. In later approach, we developed the adaptive index model and adaptive step function model for survival outcome. Moreover, we wrote textbook about tree based method.
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| Free Research Field |
医学統計学
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