A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients
Joint Authors
Xu, Zhuoming
Zhao, Xiaoming
Zhang, Shiqing
Li, Xue
Guo, Wenping
Ye, Xijian
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Sepsis is a leading cause of mortality in intensive care units and costs hospitals billions of dollars annually worldwide.
Predicting survival time for sepsis patients is a time-critical prediction problem.
Considering the useful sequential information for sepsis development, this paper proposes a time-critical topic model (TiCTM) inspired by the latent Dirichlet allocation (LDA) model.
The proposed TiCTM approach takes into account the time dependency structure between notes, measurement, and survival time of a sepsis patient.
Experimental results on the public MIMIC-III database show that, overall, our method outperforms the conventional LDA and linear regression model in terms of recall, precision, accuracy, and F1-measure.
It is also found that our method achieves the best performance by using 5 topics when predicting the probability for 30-day survival time.
American Psychological Association (APA)
Guo, Wenping& Xu, Zhuoming& Ye, Xijian& Zhang, Shiqing& Zhao, Xiaoming& Li, Xue. 2020. A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients. Scientific Programming،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209300
Modern Language Association (MLA)
Guo, Wenping…[et al.]. A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients. Scientific Programming No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1209300
American Medical Association (AMA)
Guo, Wenping& Xu, Zhuoming& Ye, Xijian& Zhang, Shiqing& Zhao, Xiaoming& Li, Xue. A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209300
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209300