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
The paper describes a rule-based information extraction (IE) system developed for Polish medical tex...
Medical reports are, quite often, written and stored in computer systems in a non-structured free te...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...
This paper describes an information extraction system that extracts and converts the available infor...
This thesis describes an information extraction system that is designed to process free text Turkish...
Vast amount of radiology reports are produced in hospitals. Being in free text format and having err...
It is observed that a person with no medical knowledge can still partially understand contents of Tu...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
Natural Language Processing and Information Extraction systems can annotate free text with meta-data...
The increase in available clinical data and availability of medical knowledge provides the basis for...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
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 images increase in quality and quantity: More and more detailed image content can be represe...
Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptioni...
The paper describes a rule-based information extraction (IE) system developed for Polish medical tex...
Medical reports are, quite often, written and stored in computer systems in a non-structured free te...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...
This paper describes an information extraction system that extracts and converts the available infor...
This thesis describes an information extraction system that is designed to process free text Turkish...
Vast amount of radiology reports are produced in hospitals. Being in free text format and having err...
It is observed that a person with no medical knowledge can still partially understand contents of Tu...
Text Mining is the discovery by computer of new, earlier anonymous information by automatically extr...
Natural Language Processing and Information Extraction systems can annotate free text with meta-data...
The increase in available clinical data and availability of medical knowledge provides the basis for...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
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 images increase in quality and quantity: More and more detailed image content can be represe...
Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptioni...
The paper describes a rule-based information extraction (IE) system developed for Polish medical tex...
Medical reports are, quite often, written and stored in computer systems in a non-structured free te...
Clinical medical records contain a wealth of information, largely in free-textual form. Thus, means ...