Application of the Improved Clustering Algorithm in Operating Room Nursing Recommendation under the Background of Medical Big Data

Wu, Xiaofang; Wang, Chuanjun; Cai, Fangzhen; Wu, Yingfen

doi:10.1155/2022/4299280

Cited by 5 publications

(6 citation statements)

References 19 publications

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“…Second, better survey results and lower HAMA and HAMD scores were determined in group A versus group C, which we think is due to the application effect of cluster nursing. Through cluster nursing, the professionalism and dynamics of nursing services can be guaranteed, reflecting the pertinence and integrity of nursing measures [ 32 , 33 ]. Among them, the psychological attention to patients can enable them to fully understand the treatment methods and related operations, as well as self-regulation of bad emotions.…”

Section: Discussionmentioning

confidence: 99%

The Significance of Implementing Bilevel Positive Airway Pressure under Cluster Nursing in Improving the Survival Possibility of Patients with Severe Pulmonary Infection Complicated by Respiratory Failure

Fang

Yang

2022

Computational and Mathematical Methods in Medicine

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Objective. To explore the significance of bilevel positive airway pressure (BIPAP) under cluster nursing in improving the survival probability of patients with severe pulmonary infection (SPI) complicated by respiratory failure (RF). Methods. This research included 153 SPI patients complicated by RF ( SPI + RF ) admitted between January 2020 and March 2022, including 55 cases in group A who were treated with BIPAP under cluster care during hospitalization, 47 cases in group B receiving invasive continuous mechanical ventilation during hospitalization, and 51 cases in group C treated with BIPAP under routine care during hospitalization. The three cohorts were compared regarding pre- and posttreatment serum inflammatory factors (IFs), blood gas (BG) parameters, heart rate (HR), and respiratory rate (RR). Besides, the cumulative time of ventilator use, successful ventilator weaning rate, mortality, and incidence of adverse events were counted. Finally, patients were scored for their psychological state using the Hamilton Anxiety/Depression Scale (HAMA/HAMD). Results. The posttreatment TNF-α, IL-6, PCT, WBC, and PaCO2 reduced statistically in all the three groups, with the lowest levels found in group A and the highest in group B ( P < 0.05 ); while PaO2 and SpO2 increased, with the highest values found in group A and the lowest in group B ( P < 0.05 ). Among the three groups, group A had the shortest duration of ventilator use, the highest successful weaning rate, and the lowest incidence of adverse events ( P < 0.05 ). Besides, HAMA and HAMD scores were the lowest in group A among the three groups, while those in group B were higher compared with group C ( P < 0.05 ). Conclusion. The implementation of BIPAP under cluster nursing can effectively reduce inflammatory responses of SPI + RF patients, improve their vital signs, and enhance their psychological state, which has extremely high clinical application value.

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Section: Discussionmentioning

confidence: 99%

The Significance of Implementing Bilevel Positive Airway Pressure under Cluster Nursing in Improving the Survival Possibility of Patients with Severe Pulmonary Infection Complicated by Respiratory Failure

Fang

Yang

2022

Computational and Mathematical Methods in Medicine

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“…Corey Heerschap et al in the study (Algorithmic approaches to ostomy management: An integrative review) concluded Current literature demonstrates the potential benefit of ostomy management algorithms to standardize and improve ostomy patient care ( 22 ). Xiaofang Wu et al in the study “Application of the Improved Clustering Algorithm in Operating Room Nursing Recommendation under the Background of Medical Big Data,” concluded data mining technology based on the improved clustering algorithm could effectively improve the quality of care during the nursing period in the operating room, obviously can stabilize the various indicators of the patient during the operation, greatly improve the negative emotions of the patient, and increase the satisfaction of nursing work ( 23 , 24 ).…”

Section: Discussionmentioning

confidence: 99%

Comparison of Students' Attitudes about the Effectiveness of Algorithm-based Education with Lecture-based Education

Yeganeh

Moghtadaei

Hoveidamanesh

et al. 2022

Med. J. Islam. Republ. Iran

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Background:Training is a complex process, especially when the students are being prepared for patient's management. Therefore, the development of effective teaching methods is critical for to improvement of learning and communication between the content and concepts. In algorithm-based education, more focus is placed on more involvement of students in the subject, thereby providing a better understanding of the concept. In this study, we compared students' attitudes about the effectiveness of algorithm-based education (education based on the patient's complaints and symptoms) with lecture-based education in the learning ability of the medical students presented in the clinical course of the orthopedic group.Methods: This research is a single-group quasi-experimental study; we assessed the students' attitudes on a five-point Likert scale questionnaire with confirmed validity and reliability. The scores of two teaching methods were assessed after the training course, which was presented using the algorithmic method for selective titles and lectures for the other titles. Data were analyzed on SPSS software using a paired t-test.Results: A total of 220 internship medical students, including 58.7% of girls with a mean age of 22.9 ± 1.19 years, participated in the study. The mean score of the questions was 3.92±0.54 and 2.17±0.58 in the algorithmic and the lecture training, respectively. After comparing the results with a paired t-test, there was a significant difference between students' attitudes toward the two teaching methods (p ˂ 0.001), so the students' attitude was more positive toward the algorithm-based method.Conclusion: For the education of medical students, algorithm-based training is more efficacious compared to traditional methods such as lecture-based training.

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“…Clinical nursing and nursing administration face a number of real problems that can be resolved with the aid of data mining-based operating room nursing recommendations. The broadly used data mining method of clustering is selected as the study's object of research by Wu et al [17], and the effect of this algorithm on operating room nursing suggestions is examined. In China, there is currently very little data mining technology development in the nursing profession.…”

Section: Related Workmentioning

confidence: 99%

Large dataset partitioning using ensemble partition-based clustering with majority voting technique

Babu

Malathi²

2023

IJEECS

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<span lang="EN-US">Large datasets have become useful in data mining for processing, storing, and handling vast amounts of data. However, handling and processing large datasets is time-consuming and memory intensive. As a result, the researchers adopted a partitioning strategy to improve controllability and performance and reduce the time and memory required to handle large datasets. Unfortunately, the numerous clustering techniques available in the literature could confuse experts in choosing the best techniques for a given dataset. Furthermore, no clustering technique can tackle all problems, such as cluster structure, noise, or density. To manage large datasets, existing clustering techniques need scalable solutions. Therefore, this paper proposes an ensemble partition-based clustering with a majority voting technique for large dataset partitioning using the aggregation of k-means, k-medoids, fuzzy c-means, expectation-maximization (EM) and density-based spatial clustering of applications with noise (DBSCAN) techniques. These techniques cluster the large dataset individually in the first stage. The final clusters are discovered in the next stage through a majority voting technique among the five clustering algorithms. These five clustering algorithms assigned data instances to the cluster with the most votes. The experimental findings demonstrate that the ensemble partition-based clustering method surpasses the other five clustering algorithms in terms of execution time and accuracy.</span>

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Application of the Improved Clustering Algorithm in Operating Room Nursing Recommendation under the Background of Medical Big Data

Cited by 5 publications

References 19 publications

The Significance of Implementing Bilevel Positive Airway Pressure under Cluster Nursing in Improving the Survival Possibility of Patients with Severe Pulmonary Infection Complicated by Respiratory Failure

The Significance of Implementing Bilevel Positive Airway Pressure under Cluster Nursing in Improving the Survival Possibility of Patients with Severe Pulmonary Infection Complicated by Respiratory Failure

Comparison of Students' Attitudes about the Effectiveness of Algorithm-based Education with Lecture-based Education

Large dataset partitioning using ensemble partition-based clustering with majority voting technique

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