1. Tiran Software RadeX Tahir Bilal Onur Deniz Soner Kara
-TURKUAZ Project-
RadeX
Tahir Bilal
Onur Deniz
Soner Kara
M. Mert Karadağlı
Assistant: Umut Eroğul
Instructor: Meltem T. Yöndem

2. Outline Problem Definition Important Aspects Our Approach
General Structure
Analyzer Component
Searcher Component
Current Status
Prototype
Tool and Resources
Q/A

3. Problem Definition Billions of radiology reports
Unfortunately, they are stored in free-text format
Hard to search and retrieve
Need for searchable information

4. Important Aspects Text Mining NLP Machine Learning
Information Extraction
Morphological Analysis
Named Entity Recognition
Machine Learning
Neural Networks, Decision Trees ...

5. Our Approach RadeX, Radiology Data Extractor will enable..
Modular machine learning component
Support for internal/external dictionary connection
Template-based approach for finalizing

6. General Structure

7. General Structure (cont.)
Analyzer Component
Preprocess free text
Look-up internal and external lexicons
Gives semantic to words
Extracts searchable data
Searcher Component
Send query strings to database
Retrieve corresponding information

11. Current Status Preprocessing. Connecting and using external sources.
Database implementation.
Applying SVM to unrelated but tagged corpus.

12. Current Status (cont.) Mapping Turkish terms to English translations.
Finding stem of unknown words.
Constructing lexicons.
Features of verbs, adjectives, nouns...

13. In Prototype we will be able to...
..decompose reports into sub-parts, sentences and words,
.. analyze words using Zemberek and a stemmer.
.. give semantics to words via internal/external lexicons
.. extract simple information using pre-defined templates

14. Tools & Resources SVM-Light WordNet JWNL TDK / Zargan Zemberek,
PostgreSQL

15. Any Questions?