Development of data-mining algorithm appropriate for outcome research of diabetes mellitus
| Project/Area Number |
22590610
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Public health/Health science
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| Research Institution | Tokyo Women's Medical University |
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Principal Investigator |
SAKURA Hiroshi 東京女子医科大学, 医学部, 教授 (70240710)
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| Co-Investigator(Kenkyū-buntansha) |
KANNO Hiroko 東京女子医科大学, 医学部, 助教 (90338971)
IWAMOTO Yasuhiko 東京女子医科大学, 医学部, 教授 (60143434)
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| Research Collaborator |
TAKAI Takanori 東京女子医科大学, 医学部, 助教
OCHIAI Kana 東京女子医科大学, 医学部, 研究生
OTOBITA Kyoko 東京女子医科大学, 医学部, 研究生
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 糖尿病 / データベース / データマイニング / 医療情報学 / 多変量解析 / ロジスティック回帰分析 / 重回帰分析 / データマート |
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| Research Abstract |
We tried to develop the data-mining algorithm appropriate for the outcome study of diabetes mellitus. Data-mining methods such as neural network or decision tree were superior to multiple regression analysis or logistic regression analysis, respectively
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Report
(4 results)
Research Products
(23 results)
