Ontology based text mining in turkish radiology reports

Download

index.pdf

Date

2012

Author

Deniz, Onur

Metadata

Show full item record

Item Usage Stats

184
views

56
downloads

Vast amount of radiology reports are produced in hospitals. Being in free text format and having errors due to rapid production, it continuously gets more complicated for radiologists and physicians to reach meaningful information. Though application of ontologies into bio-medical text mining has gained increasing interest in recent years, less work has been offered for ontology based retrieval tasks in Turkish language. In this work, an information extraction and retrieval system based on SNOMED-CT ontology has been proposed for Turkish radiology reports. Main purpose of this work is to utilize semantic relations in ontology to improve precision and recall rates of search results in domain. Practical problems encountered such as spelling errors, segmentation and tokenization of unstructured medical reports has also been addressed during the work.

Subject Keywords

Computer programs.

URI

http://etd.lib.metu.edu.tr/upload/12614145/index.pdf
https://hdl.handle.net/11511/21389

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Intelligent healthcare monitoring system based on semantically enriched clinical guidelines Laleci, Gökçe Banu; Doğaç, Asuman; Department of Computer Engineering (2008) Clinical guidelines are developed to assist healthcare practitioners to make decisions on a patient's medical problems and as such they communicate with external applications to retrieve patient data, to initiate medical actions through clinical workflows and to transmit information to alert/reminder systems. The interoperability problems in the healthcare IT domain for interacting with heterogeneous clinical workflow systems and Electronic Healthcare Record (EHR) Systems prevent wider deployment of clinica...
Processing Turkish radiology reports Hadımlı, Kerem; Üçoluk, Göktürk; Turhan Yöndem, Meltem; Department of Computer Engineering (2011) Radiology departments utilize various visualization techniques of patients’ bodies, and narrative free text reports describing the findings in these visualizations are written by medical doctors. The information within these narrative reports is required to be extracted for medical information systems. Turkish is an highly agglutinative language and this poses problems in information retrieval and extraction from Turkish free texts. In this thesis one rule-based and one data-driven alternate methods for inf...
Reduction of false arrhythmia alarms on patient monitoring systems in intensive care units by using fuzzy logic algorithms Yanar, Erdem; Serinağaoğlu Doğrusöz, Yeşim; Department of Electrical and Electronics Engineering (2018) Generally in hospitals, monitoring devices in the intensive care units (ICU) have high rates of false arrhythmia alarms independent of their brands and prices. These falsely issued alarms have financial and physiological effects such as redundant usage of hospital resources and hassling patients’ rest, reducing sensitivity of the hospital staff to potential emergency cases, which is named as “false alarm fatigue”. According to Deshmane et al. (2009), 43% of arrhythmia alarms in ICUs are false. Moreover, Thi...
A novel layered boron-based neutron shield design and results from neutron and gamma irradiation studies Muçogllava, Brunilda; Demirköz, Melahat Bilge; Uzun Duran, Selcen; Department of Micro and Nanotechnology (2022-2-18) Neutron radiation is a widely used tool in medical radiotherapy, non-destructive radiography, material structural studies, and more. However, the absence of electromagnetic charge allows neutrons to easily penetrate materials and skin, causing radioactivation, ionization and displacement damage. For each of the aforementioned applications, shielding against neutrons is of utmost importance. A novel, layered boron-based shield has been designed and tested for shielding in medical applications. The design int...
An analysis of the maincritical factors that affect the acceptance of technology in hospital management systems Peker, Can; Özkan Yıldırım, Sevgi; Department of Information Systems (2010) The purpose of this study is to develop a methodology by extending the Technology Acceptance Model (Davis, 1989) in order to contribute the acceptance of Hospital Management Systems in hospitals. The study also aims to extend the TAM by adding external variables. Thereby the relationships between perceived usefulness, perceived ease of use and external TAM factors and how these relationships will affect the behavioral intention to use the technology will be determined. In this study quantitative research me...

Citation Formats

O. Deniz, “Ontology based text mining in turkish radiology reports,” M.S. - Master of Science, Middle East Technical University, 2012.