Abstract:
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing (NLP) techniques can be applied in order to identify them. In this work we present an approach to classify radiology reports written in Spanish into two sets: the ones that indicate pathological findings and the ones that do not. In addition, the entities corresponding to pathological findings are identified in the reports. We use RadLex, a lexicon of English radiology terms, and NLP techniques to identify the occurrence of pathological findings. Reports are classified using a simple algorithm based on the presence of pathological findings, negation and hedge terms. The implemented algorithms were tested with a test set of 248 reports annotated by an expert, obtaining a best result of 0.72 F1 measure. The output of the classification task can be used to look for specific occurrences of pathological findings. © 2015 IMIA and IOS Press.
Registro:
Documento: |
Artículo
|
Título: | An Approach for Automatic Classification of Radiology Reports in Spanish |
Autor: | Cotik, V.; Filippo, D.; Castaño, J.; Georgiou A.; Sarkar I.N.; de Azevedo Marques P.M. |
Filiación: | Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina Hospital de Pediatría, Prof. Dr. Juan Pedro Garrahan, Argentina
|
Palabras clave: | Natural language processing; Negation detection; Pathological findings; Radiology reports; Text classification; Bioinformatics; Classification (of information); Clinical research; Radiation; Radiology; Text processing; Automatic classification; Automatic Detection; Classification tasks; Nlp techniques; Pathological findings; Radiology reports; SIMPLE algorithm; Text classification; Natural language processing systems; classification; human; human experiment; natural language processing; radiology; algorithm; computer assisted diagnosis; controlled vocabulary; data mining; machine learning; natural language processing; nomenclature; procedures; radiology information system; semantics; Spain; translating (language); Algorithms; Data Mining; Machine Learning; Natural Language Processing; Radiographic Image Interpretation, Computer-Assisted; Radiology Information Systems; Semantics; Spain; Terminology as Topic; Translating; Vocabulary, Controlled |
Año: | 2015
|
Volumen: | 216
|
Página de inicio: | 634
|
Página de fin: | 638
|
DOI: |
http://dx.doi.org/10.3233/978-1-61499-564-7-634 |
Título revista: | 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
|
Título revista abreviado: | Stud. Health Technol. Informatics
|
ISSN: | 09269630
|
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09269630_v216_n_p634_Cotik |
Referencias:
- Chapman, W.W., Bridewell, W., Hanbury, P., Cooper, G.F., Buchanan, B.G., A simple algorithm for identifying negated findings and diseases in discharge summaries (2001) Journal of Biomedical Informatics, 34 (5), pp. 301-310
- Wu, A.S., Do, B.H., Kim, J., Rubin, D.L., Evaluation of negation and uncertainty detection and its impact on precision and recall in search (2011) Journal of Digital Imaging, 24 (2), pp. 234-242
- Chapman, W.W., Hilert, D., Velupillai, S., Kvist, M., Skeppstedt, M., Chapman, B.E., Conway, M., Deleger, L., Extending the negex lexicon for multiple languages (2013) Studies in Health Technology and Informatics, 192, pp. 677-681
- Ramaswamy, M.R., Patterson, D.S., Yin, L., Goodacre, B.W., MoSearch: A radiologist-friendly tool for finding-based diagnostic report and image retrieval (1996) Radiographics, 16 (4), pp. 923-933
- Do, B.H., Wu, A., Biswal, S., Kamaya, A., Rubin, D.L., Informatics in radiology: RADTF: A semantic search-enabled, natural language processor-generated radiology teaching file (2010) Radiographics, 30 (7), pp. 2039-2048
- Dang, P.A., Kalra, M.K., Schultz, T.J., Graham, S.A., Dreyer, K.J., Informatics in radiology: Render: An online searchable radiology study repository (2009) Radiographics, 29 (5), pp. 1233-1246
- Gerstmair, A., Daumke, P., Simon, K., Langer, M., Kotter, E., Intelligent image retrieval based on radiology reports (2012) European Radiology, 22 (12), pp. 2750-2758
- Bretschneider, C., Zillner, S., Hammon, M., Identifying pathological findings in German radiology reports using a syntacto-semantic parsing approach (2013) Proc of Workshop on Biomedical Natural Language Processing, pp. 27-35
- Aronson, A., A effective mapping of biomedical text to the umls metathesaurus: The metamap program (2001) Proc AMIA Symp, pp. 17-21
- Dreyer, K.J., Kalra, M.K., Maher, M.M., Hurier, A.M., Asfaw, B.A., Schultz, T., Halpern, E.F., Thrall, J.H., Abbreviations: Application of recently developed computer algorithm for automatic classification of unstructured radiology reports (2005) Radiology, 234, pp. 323-329
- Skeppstedt, M., Negation detection in Swedish clinical text: An adaption of NegEx to Swedish (2011) Journal of Biomedical Semantics, 2 (S3), p. S3
- Costumero, R., Lopez, F., Gonzalo-Mart, C., An Approach to Detect Negation on Medical Documents in Spanish (2014) Brain Informatics and Health. Lecture Notes in Computer Science, 8609, pp. 366-375
- Huang, Y., Lowe, H.J., A novel hybrid approach to automated negation detection in clinical radiology reports (2007) Journal of Journal of the American Medical Informatics Association, 14 (3), pp. 304-311
- Cruz Díaz, N.P., Maña López, M.J., Mata Vázquez, J., Pachón Álvarez, V., A machine-learning approach to negation and speculation detection in clinical texts (2012) Journal of the American Society for Information Science and Technology, 63 (7), pp. 1398-1410
- Bosmans, J.M., Peremans, L., Menni, M., De Schepper, A.M., Duyck, P.O., Parizel, P.M., Insights imaging (2012) Structured Reporting: If, Why, When, How-and at What Expense? Results of A Focus Group Meeting of Radiology Professionals from Eight Countries, 3 (3), pp. 295-302
Citas:
---------- APA ----------
Cotik, V., Filippo, D., Castaño, J., Georgiou A., Sarkar I.N. & de Azevedo Marques P.M.
(2015)
. An Approach for Automatic Classification of Radiology Reports in Spanish. 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, 216, 634-638.
http://dx.doi.org/10.3233/978-1-61499-564-7-634---------- CHICAGO ----------
Cotik, V., Filippo, D., Castaño, J., Georgiou A., Sarkar I.N., de Azevedo Marques P.M.
"An Approach for Automatic Classification of Radiology Reports in Spanish"
. 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 216
(2015) : 634-638.
http://dx.doi.org/10.3233/978-1-61499-564-7-634---------- MLA ----------
Cotik, V., Filippo, D., Castaño, J., Georgiou A., Sarkar I.N., de Azevedo Marques P.M.
"An Approach for Automatic Classification of Radiology Reports in Spanish"
. 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, vol. 216, 2015, pp. 634-638.
http://dx.doi.org/10.3233/978-1-61499-564-7-634---------- VANCOUVER ----------
Cotik, V., Filippo, D., Castaño, J., Georgiou A., Sarkar I.N., de Azevedo Marques P.M. An Approach for Automatic Classification of Radiology Reports in Spanish. Stud. Health Technol. Informatics. 2015;216:634-638.
http://dx.doi.org/10.3233/978-1-61499-564-7-634