Predictors of length of stay in the coronary care unit in patient with acute coronary syndrome based on data mining methods

Rezaianzadeh, Abbas; Dastoorpoor, Maryam; Sanaei, Majid; Salehnasab, Cirruse; Mohammadi, Mohammad Javad; Mousavizadeh, Ali

doi:10.1016/j.cegh.2019.09.007

Cited by 16 publications

(10 citation statements)

References 34 publications

(40 reference statements)

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“…A total of 434 or 6% of patients had LOS for two nights, 369 or 5% for three nights, 3% or 226 for 4 nights and only 1% or 87 patients who stayed in the hospital for a long time (more than 4 nights). Many researchers took the limit of more than 4 nights as an indicator of prolonged hospitalization (Brandi et al, 2020;Caramello et al, 2019;Neto et al, 2020;Rezaianzadeh et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic

Iswanto

2021

IJLSS

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Purpose The purpose of this paper is to compare the impact of lean six sigma (LSS) implementation carried out in a pharmaceutical unit on the profitability of outpatient and inpatient care before and during the Covid-19 pandemic. Design/method/approach The data were analyzed descriptively to see the development patterns in four periods: before implementation, during the implementation before the pandemic, during the pandemic and during the enforcement of new normal, in general, and by the length of stay (LOS). Findings The inventory purchase in the pharmaceutical unit dramatically decreased after implementation even during the pandemic and new normal wherein the pre-pandemic it decreased by 27%, during the pandemic 29% and in the new normal 37% compared to pre-LSS. The hospital deficit decreased after implementation before the pandemic by 26% and during the pandemic by 10% from the pre-LSS time. However, during the new normal, the deficit increased by 29%, indicating a diminished effect of LSS on the hospital profits. Research limitations/implications This research raised the possible implication that the implementation of LSS needed to be carried out in the entire hospital to have a large effect, especially on the inpatient care and long-term care installations. Originality/value This research provided empirical evidence regarding the effect of the Covid-19 pandemic on the ability of LSS at the unit level to provide efficiency at the unit level and the entire hospital at various levels of LOS.

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Section: Resultsmentioning

confidence: 99%

Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic

Iswanto

2021

IJLSS

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“…Decision trees: Decision tree classifiers have been used in a range of clinical studies [ 26 , 27 ], An important advantage of decision trees is that they do not necessarily require selection of the explanatory variables prior to model building. Moreover, their non-parametric nature allows them to deal with missing values, and they are robust to the presence of outliers [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Machine learning approaches for the prediction of postoperative complication risk in liver resection patients

Zeng

et al. 2021

BMC Med Inform Decis Mak

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Background For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospitalization costs. The ability to identify influencing factors and to predict the risk of complications in patients with liver cancer after surgery could assist doctors to make better clinical decisions. Objective The aim of the study was to develop a postoperative complication risk prediction model based on machine learning algorithms, which utilizes variables obtained before or during the liver cancer surgery, to predict when complications present with clinical symptoms and the ways of reducing the risk of complications. Methods The study subjects were liver cancer patients who had undergone liver resection. There were 175 individuals, and 13 variables were recorded. 70% of the data were used for the training set, and 30% for the test set. The performance of five machine learning models, logistic regression, decision trees-C5.0, decision trees-CART, support vector machines, and random forests, for predicting postoperative complication risk in liver resection patients were compared. The significant influencing factors were selected by combining results of multiple methods, based on which the prediction model of postoperative complications risk was created. The results were analyzed to give suggestions of how to reduce the risk of complications. Results Random Forest gave the best performance from the decision curves analysis. The decision tree-C5.0 algorithm had the best performance of the five machine learning algorithms if ACC and AUC were used as evaluation indicators, producing an area under the receiver operating characteristic curve value of 0.91 (95% CI 0.77–1), with an accuracy of 92.45% (95% CI 85–100%), the sensitivity of 87.5%, and specificity of 94.59%. The duration of operation, patient’s BMI, and length of incision were significant influencing factors of postoperative complication risk in liver resection patients. Conclusions To reduce the risk of complications, it appears to be important that the patient's BMI should be above 22.96 before the operation, and the duration of the operation should be minimized.

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“…In fact, it is to extract data patterns from preprocessed data through some specific algorithms and formulas, and then evaluate and analyze the data patterns with relevant technologies to represent valuable information in the data. Data mining combines statistical methods and fuzzy mathematics theory, and takes visualization technology to study the data in the database [10] . Data mining is a relatively hot and promising field.…”

Section: Data Mining Technologymentioning

confidence: 99%

Design of Video Teaching System Based on Virtual Reality Technology

Wang¹,

Zhang²,

Xiang³

2021

Electron Sci Technol Appl

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<p>With the progress of the times and the development of network technology, great changes have taken place in the mode of education and teaching, and the traditional mode of education and teaching has been unable to meet the current teaching situation and requirements. Under this background, many scholars have developed a variety of teaching models adapted to the background of the times, which has achieved good results. In order to realize the reform and innovation of teaching mode, this paper designs a film and television teaching system based on virtual reality technology. In the era of Internet of Things and big data, Internet of Things technology is used as support to realize the transmission and sharing of teaching information in film and television teaching system. In the research, data mining technology is used to collect relevant data of teaching resources and teaching information, and relevant algorithms in data mining are used to realize data processing. Experiment of film and television teaching system in different stages of education system and the application of film and television teaching theory courses, experiment courses for students and education development index are analyzed. According to the end of the experiment, the influence of results show that the film and television teaching system in the use of elementary school, junior high school, high school and university level are 25.32%, 31.44%, 18.46% and 47.76% respectively. The film and television teaching system plays a significant role in students’ experimental course scores. The use of the film and television teaching system has raised the development index of education and teaching in each stage of education from 1.12, 1.33, 1.47 and 1.36 to 2.14, 2.21, 2.36 and 2.44 respectively, indicating that the film and television teaching system has a certain promoting effect on the development of education and teaching.</p>

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Predictors of length of stay in the coronary care unit in patient with acute coronary syndrome based on data mining methods

Cited by 16 publications

References 34 publications

Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic

Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic

Machine learning approaches for the prediction of postoperative complication risk in liver resection patients

Design of Video Teaching System Based on Virtual Reality Technology

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