This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set. We achieved very high precision and recall results during the evaluation of the developed system with unseen radiology reports. © 2010 Elsevier Ltd
Electronic Patient Records have opened up the possibility of re-using the data collected for clinica...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...
We have developed, in collaboration with medical and computer experts, the ontology-based Medical Re...
Cataloged from PDF version of article.This paper describes an information extraction system that ext...
This thesis describes an information extraction system that is designed to process free text Turkish...
Natural Language Processing and Information Extraction systems can annotate free text with meta-data...
Vast amount of radiology reports are produced in hospitals. Being in free text format and having err...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
poster abstractThe development and testing of automated information extraction (IE) systems depends ...
Vast amounts of information are present in unstructured format in physicians' notes. Text processing...
Medical reports are, quite often, written and stored in computer systems in a non-structured free te...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
The increase in available clinical data and availability of medical knowledge provides the basis for...
It is observed that a person with no medical knowledge can still partially understand contents of Tu...
Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptioni...
Electronic Patient Records have opened up the possibility of re-using the data collected for clinica...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...
We have developed, in collaboration with medical and computer experts, the ontology-based Medical Re...
Cataloged from PDF version of article.This paper describes an information extraction system that ext...
This thesis describes an information extraction system that is designed to process free text Turkish...
Natural Language Processing and Information Extraction systems can annotate free text with meta-data...
Vast amount of radiology reports are produced in hospitals. Being in free text format and having err...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
poster abstractThe development and testing of automated information extraction (IE) systems depends ...
Vast amounts of information are present in unstructured format in physicians' notes. Text processing...
Medical reports are, quite often, written and stored in computer systems in a non-structured free te...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
The increase in available clinical data and availability of medical knowledge provides the basis for...
It is observed that a person with no medical knowledge can still partially understand contents of Tu...
Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptioni...
Electronic Patient Records have opened up the possibility of re-using the data collected for clinica...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...
We have developed, in collaboration with medical and computer experts, the ontology-based Medical Re...