Recent advances in clinical natural language processing in support of semantic analysis

S Velupillai, D Mowery, BR South… - Yearbook of medical …, 2015 - thieme-connect.com
Objectives: We present a review of recent advances in clinical Natural Language Processing
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …

From Individual EHR Maintenance to Generalised Findings: Experiments for Application of NLP to Patient-Related Texts

G Angelova, D Tcharaktchiev, S Boytcheva… - Advances in Intelligent …, 2013 - Springer
Experiments in automatic analysis of free texts in Bulgarian hospital discharge letters are
presented. Natural Language Processing (NLP) has been applied to medical texts since …

[PDF][PDF] Towards Integrated Analysis of Risk Factors and Diabetes Prevention using Big Data and Natural Language Processing

D Tcharaktchiev, S Boytcheva, Z Angelov… - eTELEMED …, 2015 - academia.edu
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 …

[PDF][PDF] Linguistic Modelling Department Institute of Information and Communication Technologies Bulgarian Academy of Sciences, Sofia, Bulgaria galia (a) lmlbas. bg

G ANGELOVA - iict.bas.bg
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 …

Recognition and normalization of temporal expressions in Serbian medical narratives

J Jaćimović - Infotheca-Journal for Digital Humanities, 2019 - smile.stomf.bg.ac.rs
The temporal dimension emerges as one of the essential concepts in the field of medicine,
providing a basis for the proper interpretation and understanding of medically relevant …

[PDF][PDF] LANGUAGE TECHNOLOGIES IN HEALTHCARE

G ANGELOVA - CONFERENCE “LINGUISTIC RESOURCES AND …, 2014 - bibl-dlr.solirom.ro
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 …