determining factors influencing length of stay and predicting length of stay using data mining in the general surgery department

نویسندگان

samaneh aghajani

department of industrial engineering, tarbiat modares university, tehran, ir iran mehrdad kargari

department of industrial engineering, tarbiat modares university, tehran, ir iran

چکیده

background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of hospital stay and predict length of stay in the general surgery department. methods: in this study, patient information was collected from 327 records in the surgery department of shariati hospital using data mining techniques to determine factors influencing length of stay and to predict length of stay using three algorithms, namely decision tree, naïve bayes, and k-nearest neighbor algorithms. the data was split into a training data set and a test data set, and a model was built for the training data. a confusion matrix was obtained to calculate accuracy. results: four factors presented: surgery type (hemorrhoid), average number of visits per day, number of trials, and number of days of hospitalization before surgery; the most important of these factors was length of stay. the overall accuracy of the decision tree was 88.9% for the training data set. conclusions: this study determined that all three algorithms can predict length of stay, but the decision tree performs the best.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Determining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department

Background: Length of stay is one of the most important indicators in assessing hospital performance. A shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. It can lead to a greater readmission rate, better resource management, and more efficient services. Objective: This study aimed to ident...

متن کامل

Factors influencing patients' length of stay.

This study was conducted to evaluate the ability of AN-DRG version 3.1 to predict variation in patients' length of stay in hospital (LOS) and identify other factors that can influence the LOS by using routinely collected hospital morbidity data. A total of 18 DRGs that comprised 4,589 episodes were analysed. Multiple regression was used to model length of stay as a function of a number of indep...

متن کامل

Healthcare data mining : predicting inpatient length of stay

Data mining approaches have been widely applied in the field of healthcare. At the same time it is recognized that most healthcare datasets are full of missing values. In this paper we apply decision trees, Naive Bayesian classifiers and feature selection methods to a geriatric hospital dataset in order to predict inpatient length of stay, especially for the long stay patients. Index Terms NBI,...

متن کامل

Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS)

A model to predict the Length of Stay (LOS) for hospitalized patients can be an effective tool for measuring the consumption of hospital resources. Such a model will enable early interventions to prevent complications and prolonged LOS and also enable more efficient utilization of manpower and facilities in hospitals. In this paper, the authors propose an approach for Predicting Hospital Length...

متن کامل

Factors influencing length of stay in the intensive care unit.

BACKGROUND Long stays in the intensive care unit are associated with high costs and burdens on patients and patients' families and in turn affect society at large. Although factors that affect length of stay and outcomes of care in the intensive care unit have been studied extensively, the conclusions reached have not been reviewed to determine whether they reveal an organizational pattern that...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
hospital practice and research

جلد ۱، شماره ۲، صفحات ۵۳-۵۸

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023