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. 2019 Dec 17;7(4):e14782. doi: 10.2196/14782

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©Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I Morley, Zina M Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard JB Dobson, Cathie Sudlow. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 17.12.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.

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Clustered percentage versus separate power on difficult cases. The x-axis is the Epsilon (EPS) parameter of the DBScan clustering algorithm---the longest distance between any two items within a cluster; the y-axis is the percentage. Two types of changing information (as functions of EPS) are plotted on each panel: clustered percentage (solid line) and SP on incorrect cases (false-positive mentions of phenotypes). The latter has two series: (1) SP by chance (dash dotted line) when clustering by randomly selecting mentions and (2) SP by clustering using phenotype embedding (dashed line). N: number of all mentions; N_f: number of false-positive mentions; SP: separate power.