Extraction and exploration of correlations in patient status data

Authors:
Svetla Boytcheva;Ivelina Nikolova;Elena Paskaleva;Galia Angelova;Dimitar Tcharaktchiev;Nadya Dimitrova
Affiliations:
State University of Library Studies and Information Technologies, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;Bulgarian Academy of Sciences, Sofia, Bulgaria;University Specialized Hospital for Active Treatment of Endocrinology, Medical University, Sofia, Bulgaria;National Oncological Hospital, Sofia, Bulgaria
Venue:
WBIE '09 Proceedings of the Workshop on Biomedical Information Extraction
Year:
2009

Citing 5
Cited 3

Information Extraction: Techniques and Challenges

SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Scenario customization for information extraction

Scenario customization for information extraction
How can information extraction ease formalizing treatment processes in clinical practice guidelines?

Artificial Intelligence in Medicine
Building medical ontologies based on terminology extraction from texts: methodological propositions

AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Relation mining over a corpus of scientific literature

AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine

Ethics and security in text mining of patient records in Bulgarian: the EVTIMA solution

Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Use of domain knowledge in the automatic extraction of structured representations from patient-related texts

ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
EVTIMA: a system for IE from hospital patient records in Bulgarian

AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper discusses an Information Extraction approach, which is applied for the automatic processing of hospital Patient Records (PRs) in Bulgarian language. The main task reported here is retrieval of status descriptions related to anatomical organs. Due to the specific telegraphic PR style, the approach is focused on shallow analysis. Missing text descriptions and default values are another obstacle. To overcome it, we propose an algorithm for exploring the correlations between patient status data and the corresponding diagnosis. Rules for interdependencies of the patient status data are generated by clustering according to chosen metrics. In this way it becomes possible to fill in status templates for each patient when explicit descriptions are unavailable in the text. The article summarises evaluation results which concern the performance of the current IE prototype.