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arXiv · 1910.13904

Hidden Markov Models for sepsis detection in preterm infants

Antoine Honore·Dong Liu·David Forsberg·Karen Coste·Eric Herlenius·Saikat Chatterjee·Mikael Skoglund
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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.

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Antoine Honore, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund. 2019-10-30. Hidden Markov Models for sepsis detection in preterm infants. https://arxiv.org/abs/1910.13904

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