Retrospective identification of latent subgroups of emergency department patients: A machine learning approach.
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| Title: | Retrospective identification of latent subgroups of emergency department patients: A machine learning approach. |
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| Authors: | Duwalage KI; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.; Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia.; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Melbourne, Victoria, Australia., Burkett E; Emergency Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia.; Queensland Government Clinical Excellence Division, Healthcare Improvement Unit, Brisbane, Queensland, Australia., White G; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.; Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia.; ARC Centre of Excellence for Mathematical and Statistical Frontiers, Melbourne, Victoria, Australia., Wong A; Emergency Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia., Thompson MH; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.; Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia. |
| Source: | Emergency medicine Australasia : EMA [Emerg Med Australas] 2022 Apr; Vol. 34 (2), pp. 252-262. Date of Electronic Publication: 2021 Oct 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Pub Country of Publication: Australia NLM ID: 101199824 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1742-6723 (Electronic) Linking ISSN: 17426723 NLM ISO Abbreviation: Emerg Med Australas Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1742-6723 |
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| DOI: | 10.1111/1742-6723.13875 |
