Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …

Text analytics is becoming an integral part of modern business and economic research and
analysis. However, the extent to which its application is possible and accessible varies for …

This paper presents the results of an on-going research project for knowledge extraction
from large corpora of clinical narratives in Bulgarian language, approximately 100 million of …

It is no news that as in any other field of industry, digitalization is changing health care. This
change is ongoing and profound as it affects every aspect imaginable; from provisioning to …

This paper presents results of ongoing project for discovering complex temporal relations
between disorders and their treatment. We propose a cascade data mining approach for …

This paper demonstrates the potential of natural language processing for extracting patient-
related data from very big repositories of semi-structured patient records. We mine 37.9 …

This research investigates the potential of large language models (LLMs) to extract and
analyze medical text to classify immune deficiencies. The study focuses on evaluating the …

ETRAN 2022 VI1. 4-Page 1 of 4 ISBN 978-86-7466-930-3 slova, reči i čitave tekstove.[4].
Procesiranje prirodnog jezika je grana veštačke inteligencije koja omogućava sistemu da …

The main goal of this research is to identify and extract risk factors for Diabetes Mellitus. The
data source for our experiments are 8 mln outpatient records from the Bulgarian Diabetes …

Information Extraction (IE) is the dominating text analysis approach that is currently applied
in the biomedical domain: due to the complexity of the narratives, shallow analysis is …