Trends in anesthesiology research: a machine learning approach to theme discovery and summarization.

ABSTRACT:

Objectives

Traditionally, summarization of research themes and trends within a given discipline was accomplished by manual review of scientific works in the field. However, with the ushering in of the age of "big data," new methods for discovery of such information become necessary as traditional techniques become increasingly difficult to apply due to the exponential growth of document repositories. Our objectives are to develop a pipeline for unsupervised theme extraction and summarization of thematic trends in document repositories, and to test it by applying it to a specific domain.

Methods

To that end, we detail a pipeline, which utilizes machine learning and natural language processing for unsupervised theme extraction, and a novel method for summarization of thematic

SUBMITTER: Rusanov A 

PROVIDER: S-EPMC6241511 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature