Machine learning based electronic triage for emergency department

Diana Olivia, Ashalatha Nayak, Mamatha Balachandra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Increase in the number of casualties visit to Emergency Department (ED) have lead to over crowd and delay in medical care. Hence, electronic triaging has been deployed to alleviate these problems and improve managing the patient. In this paper research methodology framework based on diagnostic and cross-sectional study is used for patient triage. The empirical approach is used to build models for patient triage to correctly predict the patient’s medical condition, given their signs and symptoms. Models are built with supervised learning algorithms. The “Naive Bayes”, “Support Vector Machine”, “Decision Tree” and, “Neural Network” classification models are implemented and evaluated using chi-square statistical test. This study infers the significance of using machine learning algorithms to predict patient’s medical condition. Support Vector Machine and Decision Tree have shown better performance for the considered dataset.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings
EditorsQingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li
PublisherSpringer Verlag
Pages215-221
Number of pages7
ISBN (Print)9789811329067
DOIs
Publication statusPublished - 01-01-2018
Event9th International Conference on Applications and Techniques in Information Security, ATIS 2018 - Nanning, China
Duration: 09-11-201811-11-2018

Publication series

NameCommunications in Computer and Information Science
Volume950
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference9th International Conference on Applications and Techniques in Information Security, ATIS 2018
CountryChina
CityNanning
Period09-11-1811-11-18

Fingerprint

Emergency
Learning systems
Machine Learning
Electronics
Decision trees
Decision tree
Learning algorithms
Support vector machines
Learning Algorithm
Support Vector Machine
Predict
Chi-squared test
Naive Bayes
Statistical tests
Supervised learning
Supervised Learning
Statistical test
Health care
Diagnostics
Model

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Olivia, D., Nayak, A., & Balachandra, M. (2018). Machine learning based electronic triage for emergency department. In Q. Chen, J. Wu, S. Zhang, C. Yuan, L. Batten, & G. Li (Eds.), Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings (pp. 215-221). (Communications in Computer and Information Science; Vol. 950). Springer Verlag. https://doi.org/10.1007/978-981-13-2907-4_19
Olivia, Diana ; Nayak, Ashalatha ; Balachandra, Mamatha. / Machine learning based electronic triage for emergency department. Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings. editor / Qingfeng Chen ; Jia Wu ; Shichao Zhang ; Changan Yuan ; Lynn Batten ; Gang Li. Springer Verlag, 2018. pp. 215-221 (Communications in Computer and Information Science).
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Olivia, D, Nayak, A & Balachandra, M 2018, Machine learning based electronic triage for emergency department. in Q Chen, J Wu, S Zhang, C Yuan, L Batten & G Li (eds), Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings. Communications in Computer and Information Science, vol. 950, Springer Verlag, pp. 215-221, 9th International Conference on Applications and Techniques in Information Security, ATIS 2018, Nanning, China, 09-11-18. https://doi.org/10.1007/978-981-13-2907-4_19

Machine learning based electronic triage for emergency department. / Olivia, Diana; Nayak, Ashalatha; Balachandra, Mamatha.

Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings. ed. / Qingfeng Chen; Jia Wu; Shichao Zhang; Changan Yuan; Lynn Batten; Gang Li. Springer Verlag, 2018. p. 215-221 (Communications in Computer and Information Science; Vol. 950).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Olivia D, Nayak A, Balachandra M. Machine learning based electronic triage for emergency department. In Chen Q, Wu J, Zhang S, Yuan C, Batten L, Li G, editors, Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings. Springer Verlag. 2018. p. 215-221. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-13-2907-4_19