Strategies for Medical Data Extraction and Presentation Part 1: Current Limitations and Deficiencies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-015-9769-5.pdf
Reference18 articles.
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3. Demner-Fushman D, Chapman WW, McDonald CJ: What can natural language processing do for clinical decision support? J Biomed Inform 42:760–772, 2009
4. Reiner B: Uncovering and improving upon the inherent deficiencies of radiology reporting through data mining. J Digit Imaging 109–118, 2010
5. Reiner BI, McKinley M: Innovation economics and medical imaging. J Digit Imaging 3:325–329, 2013
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2. Text mining in radiology reports (Methodologies and algorithms), and how it affects on workflow and supports decision making in clinical practice (Systematic review);2020 11th International Conference on Information and Communication Systems (ICICS);2020-04
3. Strategies for Medical Data Extraction and Presentation Part 2: Creating a Customizable Context and User-Specific Patient Reference Database;Journal of Digital Imaging;2015-04-02
4. Strategies for Medical Data Extraction and Presentation Part 3: Automated Context- and User-Specific Data Extraction;Journal of Digital Imaging;2015-04-02
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