Please use this identifier to cite or link to this item:
https://doi.org/10.1155/2014/248938
DC Field | Value | |
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dc.title | Risk stratification with extreme learning machine: A retrospective study on emergency department patients | |
dc.contributor.author | Liu, N | |
dc.contributor.author | Cao, J | |
dc.contributor.author | Koh, Z.X | |
dc.contributor.author | Pek, P.P | |
dc.contributor.author | Ong, M.E.H | |
dc.date.accessioned | 2020-10-26T07:19:39Z | |
dc.date.available | 2020-10-26T07:19:39Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Liu, N, Cao, J, Koh, Z.X, Pek, P.P, Ong, M.E.H (2014). Risk stratification with extreme learning machine: A retrospective study on emergency department patients. Mathematical Problems in Engineering 2014 : 248938. ScholarBank@NUS Repository. https://doi.org/10.1155/2014/248938 | |
dc.identifier.issn | 1024-123X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/180167 | |
dc.description.abstract | This paper presents a novel risk stratification method using extreme learning machine (ELM). ELM was integrated into a scoring system to identify the risk of cardiac arrest in emergency department (ED) patients. The experiments were conducted on a cohort of 1025 critically ill patients presented to the ED of a tertiary hospital. ELM and voting based ELM (V-ELM) were evaluated. To enhance the prediction performance, we proposed a selective V-ELM (SV-ELM) algorithm. The results showed that ELM based scoring methods outperformed support vector machine (SVM) based scoring method in the receiver operation characteristic analysis. © 2014 Nan Liu et al. | |
dc.publisher | Hindawi Publishing Corporation | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | Emergency departments | |
dc.subject | Extreme learning machine | |
dc.subject | Risk stratification | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1155/2014/248938 | |
dc.description.sourcetitle | Mathematical Problems in Engineering | |
dc.description.volume | 2014 | |
dc.description.page | 248938 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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