Cross-lingual Unified Medical Language System entity linking in online health communities.

ABSTRACT:

Objective

In Hebrew online health communities, participants commonly write medical terms that appear as transliterated forms of a source term in English. Such transliterations introduce high variability in text and challenge text-analytics methods. To reduce their variability, medical terms must be normalized, such as linking them to Unified Medical Language System (UMLS) concepts. We present a method to identify both transliterated and translated Hebrew medical terms and link them with UMLS entities.

Materials and methods

We investigate the effect of linking terms in Camoni, a popular Israeli online health community in Hebrew. Our method, MDTEL (Medical Deep Transliteration Entity Linking), includes (1) an attention-based recurrent neural network encoder-decoder to translit

SUBMITTER: Bitton Y 

PROVIDER: S-EPMC7566404 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature