I admit, the title is a bit of a mouthful. It’s the title of an upcoming article in Neurocomputing by Rinta-Koski, Särkkä, Hollmén, Leskinen, and Andersson – also what I hope to be the last remaining piece of the puzzle (not counting the summary) that is my thesis.
The article, which is “in press,” (Edit 2018-04-29: the article is officially out, see below for citation. –ola) is already available on the website of Neurocomputing, but if you for some reason are not a subscriber and don’t want to pay (does anyone ever?), not to worry: I am making a preprint available right here for all of you interested in machine learning, neonatology, or both.
Gaussian process classification for prediction of in-hospital mortality among preterm infants
Cite as:
Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson. Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing, Vol. 298, pp. 134–141, 12 July 2018, doi:10.1016/j.neucom.2017.12.064