Research on Temporal Active Mining for Clinical Process Management
Project/Area Number |
21300052
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Shimane University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
HIRANO Shoji 島根大学, 医学部, 准教授 (60333506)
ABE Hidenao 島根大学, 医学部, 助教 (00397853)
|
Co-Investigator(Renkei-kenkyūsha) |
EISUKE Hanada 島根大学, 医学部, 准教授 (90244095)
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Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
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Budget Amount *help |
¥15,860,000 (Direct Cost: ¥12,200,000、Indirect Cost: ¥3,660,000)
Fiscal Year 2011: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2010: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2009: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
|
Keywords | 知識発見とデータマイニング / 病院情報システム / 時系列マイニング / クラスタリング / アクティブマイニング / 診療プロセス管理 / クリニカルパス / 時系列解析 / データウェアハウジング |
Research Abstract |
The research achievements of this project are summarized as follows :(1) Application of temporal data mining process to datasets on the number of clinical orders captured temporal characteristics of clinical orders and extracted important knowledge for clinical process management.(2) Application of temporal data mining methods to datasets on temporal change of nursing orders showed that nursing orders can be classified into three major categories : the orders common to a disease and those specific to the status of severity of patients.(3) Especially for a disease where a clinical pathway is applied, the proposed process provided a empirical validation method for the clinical pathway and supported its revision.
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Report
(4 results)
Research Products
(73 results)
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[Presentation] 病院サービスの可視化2011
Author(s)
津本周作
Organizer
SRII Japan Chapter
Place of Presentation
東京,東京工業大学田町キャンパス(招待講演)
Year and Date
2011-05-18
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[Book] 神経医工学2009
Author(s)
呉景龍, 津本周作共編著
Total Pages
295
Publisher
オーム社
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