ArticleThoracic cancer2015
Analysis of the factors influencing lung cancer hospitalization expenses using data mining.
Article in Thoracic cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Hospital spending for cancers in Hunan, China during 2017 and 2019.BMC public health · 2025Article
- Trends in hospitalization for female breast and gynecological cancer in China from 2004 to 2020.Scientific reports · 2024Article
- Factors influencing economic toxicity and coping strategies in lung cancer patients: A scoping review.Heliyon · 2024Article
- A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a retrospective study.Frontiers in public health · 2024Article
- Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model.Risk management and healthcare policy · 2024Article
- Using data mining technology to predict medication-taking behaviour in women with breast cancer: A retrospective study.Nursing open · 2022Article
- Differences in medical costs among urban lung cancer patients with different health insurance schemes: a retrospective study.BMC health services research · 2022Article
- Assessment of influencing factors of hospitalization expenses for Crohn's disease patients: Based on LASSO and linear mixed model.Frontiers in public health · 2022Article
- Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis-Treated Patients Using Stacked Generalization: Model Development and Validation Study.JMIR medical informatics · 2021Article
- Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model.World journal of clinical cases · 2020Article
- Research on Current Curative Expenditure among Lung Cancer Patients Based on the "System of Health Accounts 2011": Insights into Influencing Factors.Journal of Cancer · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHospitalization expenses for the therapy of lung cancer are not only a direct economic burden on patients, but also the focus of medical insurance departments. Therefore, the method for classifying and analyzing lung cancer hospitalization expenses so as to predict reasonable medical cost has become an issue of common interest for both hospitals and insurance institutions.
methodsA C5.0 algorithm is adopted to analyze factors influencing hospitalization expenses of 731 lung cancer patients. A C5.0 algorithm is a data mining method used to classify calculation.
resultsIncreasing the number of input variables leads to variation in the importance of different variables, but length of stay (LOS), major therapy, and medicine cost are the three variables of greater importance. They are important factors that affect the hospitalization cost of lung cancer patients. In all three calculations, the classification accuracy rate of training and testing partition sets reached 84% and above. The classification accuracy rate reached over 95% after addition of the cost variables.
conclusionThe classification rules are proven to be in accordance with actual clinical practice. The model established by the research can also be applied to other diseases in the screening and analysis of disease hospitalization costs according to selected feature variables.
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