Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

A survey of word embeddings for clinical text - 2019

Research Area:  Machine Learning

Abstract:

Representing words as numerical vectors based on the contexts in which they appear has become the de facto method of analyzing text with machine learning. In this paper, we provide a guide for training these representations on clinical text data, using a survey of relevant research. Specifically, we discuss different types of word representations, clinical text corpora, available pre-trained clinical word vector embeddings, intrinsic and extrinsic evaluation, applications, and limitations of these approaches. This work can be used as a blueprint for clinicians and healthcare workers who may want to incorporate clinical text features in their own models and applications.

Author(s) Name:  Faiza Khan Khattaka,Serena Jeblee, Chlo├ęPou-Prom,Mohamed Abdalla,Christopher Meaney,Frank Rudzicz

Journal name:  Journal of Biomedical Informatics

Conferrence name:  

Publisher name:  Elsevier B.V.

DOI:  https://doi.org/10.1016/j.yjbinx.2019.100057

Volume Information:  Volume 100, Supplement, 2019, 100057