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- W4288087845 abstract "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 based HMM, 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." @default.
- W4288087845 created "2022-07-28" @default.
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- W4288087845 date "2019-10-30" @default.
- W4288087845 modified "2023-09-26" @default.
- W4288087845 title "Hidden Markov Models for sepsis detection in preterm infants" @default.
- W4288087845 doi "https://doi.org/10.48550/arxiv.1910.13904" @default.
- W4288087845 hasPublicationYear "2019" @default.
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