Full
Outline
To explore multifactor combination patterns of unplanned extubation using association rule mining and to construct a Bayesian network predictive model.
A retrospective case-control study was conducted.Clinical data were collected from 133 patients with unplanned extubation and 350 control patients at a tertiary grade A hospital in Guizhou province between January 2013 and December 2023.The Apriori algorithm was used to mine association rules and screen strong association rules. Meanwhile,the max-min hill-climbing(MMHC) algorithm was employed to construct a Bayesian network predictive model,which was used to analyze causal relationships and risk probabilities among various factors.
A total of 20 strong association rules were identified. Factors such as night shift,years of nursing experience,caregiver responsibility lacking,omission of catheter assessment,pain,agitation,restraint status,catheter retention time,and age were closely associated with unplanned extubation.The Bayesian network model consisted of 10 nodes and 14 directed edges,and the incidence of unplanned extubation under high-risk combinations could reach 90%.
Unplanned extubation results from the interaction of multiple factors,with omission of assessment during handover representing a core risk link.The predictive model constructed in this study demonstrates strong risk identification and predictive capabilities,providing a quantitative tool for early warning and intervention in clinical settings.
56
23
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
