A research on process-dynamics mining from spatiotemporal process sequences
| Project/Area Number |
26330253
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Shimane University |
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Principal Investigator |
Hirano Shoji 島根大学, 医学部, 准教授 (60333506)
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| Research Collaborator |
TSUMOTO Shusaku
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | データマイニング / 診療プロセス / 位置情報 / 知識発見とデータマイニング |
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| Outline of Final Research Achievements |
This research investigated process-dynamics mining, which facilitates knowledge discovery from spatiotemporal process sequences. Followings are main contributions. (1) Proposed a method to visualize the dynamics of outpatients in a hospital based on the clinical action records and input device locations. (2) Proposed a method to analyze the relationships between the stay time of outpatients and treatment processes they received during their hospital visits. The results suggested that a visit needs long time if treatments or examinations should be executed during the consultation, or if injections such as intravenous drips were involved in the process. (3) Proposed a temporal pattern mining method based on ranged relations. Experimental results demonstrated that the proposed method could generate frequent patterns with abstracted time ranges embedded in their temporal relations.
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Report
(5 results)
Research Products
(8 results)
