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Analysis of Risk Factors of Neurobiological Pipeline Care and Investigation of Preventive Measures
Author(s) -
Lin Sun,
Qian Wang,
Jinzhi Feng
Publication year - 2021
Publication title -
journal of healthcare engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 29
eISSN - 2040-2309
pISSN - 2040-2295
DOI - 10.1155/2021/3572265
Subject(s) - pipeline (software) , intervention (counseling) , medicine , sample (material) , class (philosophy) , emergency medicine , nursing , computer science , artificial intelligence , chemistry , chromatography , programming language
During clinical care, most neurosurgical patients are critically ill. They have sudden onset of illness that should be treated on time with proper care. The patients require continuous hospitalization for proper treatment. The recovery of patients may be relatively slow and takes some time. Patients and Methods . To explore where the risks of pipeline care lie and the preventive measures. (1) In this paper, 100 neurosurgical patients were treated in our hospital from September 2018 to March 2020. They were firstly selected and divided into two groups. Group A was implemented with routine pipeline care and group B was implemented with the intervention developed by the pipeline team. (2) The design and SMOTE assume that, during the generation of a new synthetic sample of minority classes, the immediate neighbors of the minority class instances were also all minority classes, regardless of their true distribution characteristics, to analyze risk factors during care and summarize preventive measures. Results . The experimental results showed that the total efficiency of nursing care was higher in group B as compared to group A, P < 0.05; also, the number of pipeline accidents was lower in group B. Conclusion It is important to be meticulous and thoughtful in pipeline care and to comprehensively analyze the possible risk events and then propose preventive measures so that risk events can be reduced.

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