📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach (2018)

First Author: Altuncu M

Attributed to: EPSRC Centre for Mathematics of Precision Healthcare funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1811.05711

Publication URI: https://arxiv.org/abs/1811.05711

Type: Other