Predicting Intracerebral Hemorrhage Patients’ Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information
Joint Authors
Xu, Xueru
Luo, Li
Jiang, Yan
Zhu, Wei
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The vast majority of patients with intracerebral hemorrhage (ICH) suffer from long and uncertain length of stay (LOS).
The aim of our study was to provide decision support for discharge and admission plans by predicting ICH patients’ LOS probability distribution.
The demographics, clinical predictors, admission diagnosis, and surgery information from 3,600 ICH patients were used in this study.
We used univariable Cox analysis, multivariable Cox analysis, Cox-variable of importance (Cox-VIMP) analysis, and an intersection analysis to select predictors and used random survival forests (RSF)—a method in survival analysis—to predict LOS probability distribution.
The Cox-VIMP method constructed by us effectively selected significant correlation predictors.
The Cox-VIMP RSF model can improve prediction performance and is significantly different from the other models.
The Cox-VIMP can contribute to the screening of predictors, and the RSF model can be established through those predictors to predict the probability distribution of LOS in each patient.
American Psychological Association (APA)
Luo, Li& Xu, Xueru& Jiang, Yan& Zhu, Wei. 2019. Predicting Intracerebral Hemorrhage Patients’ Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1175212
Modern Language Association (MLA)
Luo, Li…[et al.]. Predicting Intracerebral Hemorrhage Patients’ Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information. Journal of Healthcare Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1175212
American Medical Association (AMA)
Luo, Li& Xu, Xueru& Jiang, Yan& Zhu, Wei. Predicting Intracerebral Hemorrhage Patients’ Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1175212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175212