Add to ORKGIt is observed that a person with no medical knowledge can still partially understand contents of Turkish radiology reports. Based on this observation, one rule based method and one data driven method for information retrieval from Turkish radiology reports are proposed. Both methods lack use of medical ontologies and medical lexicons in order to test the limits of the observation in isolation of other factors
Medical text mining has gained increasing popularity in recent years. Now a days, large amount of me...
Uncertainty has been the perceived Achilles heel of the radiology report since the inception of the ...
The increase in available clinical data and availability of medical knowledge provides the basis for...
Turkish is an highly agglutinative language and this poses problems in information retrieval from Tu...
This paper describes an information extraction system that extracts and converts the available infor...
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...
This thesis describes an information extraction system that is designed to process free text Turkish...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
Natural Language Processing (NLP) Algorithms are the key factors for automatic information extractio...
Purpose: The authors have developed a system that searches for radiologic reports, and we have evalu...
SummaryEspecially in knowledge-rich domains such as medicine perfect access to the literature is ess...
This paper introduces machine learning methods for extracting targets and attributes and identifying...
Usually, physicians need radiology reports to diagnose their patients' illness. Radiology reports ar...
Abstract: Background: Communication of critical results from diagnostic procedures between caregiver...
Medical text mining has gained increasing popularity in recent years. Now a days, large amount of me...
Uncertainty has been the perceived Achilles heel of the radiology report since the inception of the ...
The increase in available clinical data and availability of medical knowledge provides the basis for...
Turkish is an highly agglutinative language and this poses problems in information retrieval from Tu...
This paper describes an information extraction system that extracts and converts the available infor...
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...
This thesis describes an information extraction system that is designed to process free text Turkish...
In healthcare domain it can be useful to compare unstructured free-text clinical reports in order to...
Natural Language Processing (NLP) Algorithms are the key factors for automatic information extractio...
Purpose: The authors have developed a system that searches for radiologic reports, and we have evalu...
SummaryEspecially in knowledge-rich domains such as medicine perfect access to the literature is ess...
This paper introduces machine learning methods for extracting targets and attributes and identifying...
Usually, physicians need radiology reports to diagnose their patients' illness. Radiology reports ar...
Abstract: Background: Communication of critical results from diagnostic procedures between caregiver...
Medical text mining has gained increasing popularity in recent years. Now a days, large amount of me...
Uncertainty has been the perceived Achilles heel of the radiology report since the inception of the ...
The increase in available clinical data and availability of medical knowledge provides the basis for...