English

Temporal ordering of clinical events

Computation and Language 2015-04-15 v1 Artificial Intelligence

Abstract

This report describes a minimalistic set of methods engineered to anchor clinical events onto a temporal space. Specifically, we describe methods to extract clinical events (e.g., Problems, Treatments and Tests), temporal expressions (i.e., time, date, duration, and frequency), and temporal links (e.g., Before, After, Overlap) between events and temporal entities. These methods are developed and validated using high quality datasets.

Keywords

Cite

@article{arxiv.1504.03659,
  title  = {Temporal ordering of clinical events},
  author = {Azad Dehghan},
  journal= {arXiv preprint arXiv:1504.03659},
  year   = {2015}
}