Word Sense Disambiguation of clinical abbreviations with hyperdimensional computing.

Sungrim Moon¹, Bjoern-Toby Berster², Hua Xu¹, Trevor Cohen³

¹The University of Texas School of Biomedical Informatics at Houston, Houston, TX.

²Drchrono, Mountain View, CA.

³The University of Texas School of Biomedical Informatics at Houston, Houston, TX ; National Center for Cognitive Informatics and Decision Making in Healthcare, Houston, TX.

PubMed PMC PDF

Abstract

Automated Word Sense Disambiguation in clinical documents is a prerequisite to accurate extraction of medical information. Emerging methods utilizing hyperdimensional computing present new approaches to this problem. In this paper, we evaluate one such approach, the Binary Spatter Code Word Sense Disambiguation algorithm, on 50 ambiguous abbreviation sets derived from clinical notes. This algorith…

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