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Doctor of Philosophy（Information Science） >
R06) (Jun.2024 - Mar.2025 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/19929
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| Title: | AI駆動の生理管理最適化：周術期または集中治療における急性期医療への自動化アプローチ |
| Authors: | 廖, 可 |
| Authors(alternative): | りょう, か |
| Keywords: | Anesthesia and critical care
automated physiological management
monitoring
clinical decision making
AI
big data |
| Issue Date: | Mar-2025 |
| Description: | Supervisor: 丁 洛榮 |
| Title(English): | AI-DRIVEN OPTIMIZATION OF PHYSIOLOGICAL MANAGEMENT IN PERIOPERATIVE OR INTENSIVE CARE: AN AUTOMATED APPROACH TO ACUTE CARE MEDICINE |
| Authors(English): | LIAO, KE |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/19929 |
| Academic Degrees and number: | 甲第1534号 |
| Degree-granting date: | 2025-03-21 |
| Degree name: | 博士 (情報科学) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-IS. 2024年度(R06) (Jun.2024 - Mar.2025)
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Files in This Item:
| File |
Description |
Size | Format |
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| abstract.pdf | 要旨 | 186Kb | Adobe PDF | View/Open | | paper.pdf | 本文 | 55458Kb | Adobe PDF | View/Open | | summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 91Kb | Adobe PDF | View/Open |
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