JAIST Repository >
JAIST >
Theses >
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
|
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)
|
Files in This Item:
File |
Description |
Size | Format |
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 |
|
All items in DSpace are protected by copyright, with all rights reserved.
|