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Hidden markov models for sepsis detection in preterm infants
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. Karolinska Inst, Dept Womens & Childrens Hlth, Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0003-0394-1087
Karolinska Inst, Dept Womens & Childrens Hlth, Stockholm, Sweden..
Karolinska Inst, Dept Womens & Childrens Hlth, Stockholm, Sweden..
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2020 (English)In: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Institute of Electrical and Electronics Engineers (IEEE) , 2020, p. 1130-1134Conference paper, Published paper (Refereed)
Abstract [en]

We explore the use of traditional and contemporary hidden Markov models (HMMs) for sequential physiological data analysis and sepsis prediction in preterm infants. We investigate the use of classical Gaussian mixture model basedHMM, and a recently proposed neural network based HMM. To improve the neural network based HMM, we propose a discriminative training approach. Experimental results show the potential of HMMs over logistic regression, support vector machine and extreme learning machine.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. p. 1130-1134
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Neonatal Sepsis, Hidden Markov Model
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-292019DOI: 10.1109/ICASSP40776.2020.9054635ISI: 000615970401074Scopus ID: 2-s2.0-85091306553OAI: oai:DiVA.org:kth-292019DiVA, id: diva2:1539536
Conference
2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020
Note

QC 20210324

Available from: 2021-03-24 Created: 2021-03-24 Last updated: 2022-06-25Bibliographically approved

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Honore, AntoineLiu, DongChatterjee, SaikatSkoglund, Mikael

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  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
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More languages
Output format
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  • asciidoc
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