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Regular version of the site

Article

Massive datasets and machine learning for computational biomedicine: trends and challenges

Annals of Operations Research. 2019. Vol. 276. No. 1-2. P. 5-34.
Anton Kocheturov, Pardalos P. M., Karakitsiou A.

This survey paper attempts to cover a broad range of topics related to computational
biomedicine. The field has been attracting great attention due to a number of benefits it can
provide the society with. New technological and theoretical advances have made it possible
to progress considerably. Traditionally, problems emerging in this field are challenging from
many perspectives. In this paper,we considered the influence of big data on the field, problems
associated with massive datasets in biomedicine and ways to address these problems. We
analyzed the most commonly used machine learning and feature mining tools and several
new trends and tendencies such as deep learning and biological networks for computational
biomedicine.