A preliminary dengue fever prediction model based on vital signs and blood profile

Norhayati Binti Mohd Zainee, Kalaivani Chell

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

3 Citations (Scopus)

Abstract

A retrospective study was conducted at Hospital Canselor Tuanku Muhriz (HCTM), Pusat Perubatan Universiti Kebangsaan Malaysia, from January 2015 to January 2016, cases registered was included in the study. Linear discriminant model was found to be the most reliable trained model for the 30 dengue fever data with a true positive rate (TPR) of 83.3% and false negative rate (FNR) of 16.7%. The accuracy of the validation was 50% with 50% error.

Original languageEnglish
Title of host publicationIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages652-656
Number of pages5
ISBN (Electronic)9781467377911
DOIs
Publication statusPublished - 3 Feb 2017
Event2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016 - Kuala Lumpur, Malaysia
Duration: 4 Dec 20168 Dec 2016

Other

Other2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016
CountryMalaysia
CityKuala Lumpur
Period4/12/168/12/16

Fingerprint

fever
blood
Blood
Malaysia
profiles
predictions

Keywords

  • blood profile
  • Dengue fever
  • linear discriminant
  • machine learning
  • vital signs

ASJC Scopus subject areas

  • Biomedical Engineering
  • Instrumentation

Cite this

Binti Mohd Zainee, N., & Chell, K. (2017). A preliminary dengue fever prediction model based on vital signs and blood profile. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences (pp. 652-656). [7843530] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2016.7843530

A preliminary dengue fever prediction model based on vital signs and blood profile. / Binti Mohd Zainee, Norhayati; Chell, Kalaivani.

IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. p. 652-656 7843530.

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

Binti Mohd Zainee, N & Chell, K 2017, A preliminary dengue fever prediction model based on vital signs and blood profile. in IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences., 7843530, Institute of Electrical and Electronics Engineers Inc., pp. 652-656, 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016, Kuala Lumpur, Malaysia, 4/12/16. https://doi.org/10.1109/IECBES.2016.7843530
Binti Mohd Zainee N, Chell K. A preliminary dengue fever prediction model based on vital signs and blood profile. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc. 2017. p. 652-656. 7843530 https://doi.org/10.1109/IECBES.2016.7843530
Binti Mohd Zainee, Norhayati ; Chell, Kalaivani. / A preliminary dengue fever prediction model based on vital signs and blood profile. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 652-656
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