Towards an Efficient Approach for Automatic Medical Document Summarization

1. Pimpalshende, A. N. Overview of Text Summarization Extractive Techniques. - International Journal of Engineering and Computer Science, Vol. 2, 2013, No 4, pp. 1205-1214.Search in Google Scholar

2. Ramanathan, K., Y. Sankarasubramaniam, N. Mathur, A. Gupta. Document Summarization Using Wikipedia. - In: Proc. of 1st International Conference on Intelligent Human Computer Interaction, Allahabad, India, 2009, pp. 254-260.10.1007/978-81-8489-203-1_25Search in Google Scholar

3. Zajic, D. M., B. J. Dorr, J. Lin. Single-Document and Multi-Document Summarization Techniques for Email Threads Using Sentence Compression. - Information Processing and Management, Vol. 44, 2008, No 4, pp. 1600-1610.10.1016/j.ipm.2007.09.007Search in Google Scholar

4. Shubhangi, C. T. An Approach to Single Document Text Summarization and Simplification. - IOSR Journal of Computer Engineering, Vol. 16, 2014, No 3, pp. 42-49.10.9790/0661-16324249Search in Google Scholar

5. Santhana, M. S., A. Kavitha, A. Marimuthu. Enriching Text Summarization Using Fuzzy Logic. - International Journal of Computer Science and Information Technologies, Vol. 5, 2014, No 1, pp. 863-867.Search in Google Scholar

6. Munot, N., S. S. Govilkar. Comparative Study of Text Summarization Methods. - International Journal of Computer Applications, Vol. 102, 2014, No 12, pp. 33-37.10.5120/17870-8810Search in Google Scholar

7. Reddy, Y. S., D. A. S. Kumar. An Efficient Approach for Web Document Summarization by Sentence Ranking. - International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, 2012, No 7, pp. 221-225.10.3850/978-981-07-3043-7_072Search in Google Scholar

8. Gupta, V., G. S. Lehal. A Survey of Text Summarization Extractive Techniques. - Journal of Emerging Technologies in Web Intelligence, Vol. 2, 2010, No 3, pp. 258-268.10.4304/jetwi.2.3.258-268Search in Google Scholar

9. Garcia-Hernandez, R. A., R. Montiel, Y. Ledeneva, E. Rendon, A. Gelbukh, R. Cruz. Text Summarization by Sentence Extraction Using Unsupervised Learning. - In: Proc. of Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, 2008, pp. 133-143.Search in Google Scholar

10. Sarkar, K., M. N asipuri, S. Ghose. Using Machine Learning for Medical Document Summarization. - International Journal of Database Theory and Application, Vol. 4, 2011, No 1, pp. 31-48.Search in Google Scholar

11. Mendoza, M., S. Bonilla, C. Noguera, C. Cobos, E. Leon. Extractive Single- Document Summarization Based on Genetic Operators and Guided Local Search. - Expert Systems with Applications, Vol. 41, 2014, No 9, pp. 4158-4169.10.1016/j.eswa.2013.12.042Search in Google Scholar

12. Goyal, P., L. Behera, T. M. McGinnity. A Context-Based Word Indexing Model for Document Summarization. - IEEE Transactions on Knowledge and Data Engineering, Vol. 25, 2013, No 8, pp. 1693-1705.10.1109/TKDE.2012.114Search in Google Scholar

13. Niwattanakul, S., J. Singthongchai, E. Naenudorn, S. Wanapu. Using Jaccard Coefficient for Keywords Similarity. - In: Proc. of International MultiConference of Engineers and Computer Scientists, Vol. 1, 2013, pp. 23-27.Search in Google Scholar

14. Hliaoutakis, A., K. Zervanou, E. G. Petrakis. The AMTEx Approach in the Medical Document Indexing and Retrieval Application. - Data and Knowledge Engineering, Vol. 68, 2009, No 3, pp. 380-392.10.1016/j.datak.2008.11.002Search in Google Scholar

15. Ledeneva, Y., A. Gelbukh, H. R. Garcia. Terms Derived from Frequent Sequences for Extractive Text Summarization. - Computational Linguistics and Intelligent Text Processing, Vol. 4919, 2008, pp. 593-604.Search in Google Scholar

16. Mihalcea, R. Random Walks on Text Structures. - Computational Linguistics and Intelligent Text Processing, Vol. 3878, 2006, pp. 249-262.Search in Google Scholar

17. Hassan, S., R. Mihalcea, C. Banea. Random-Walk Term Weighting for Improved Text Classification. - International Journal of Semantic Computing, Vol. 1, 2007, No 4, pp. 421-439.10.1142/S1793351X07000263Search in Google Scholar

18. Mihalcea, R., P. Tarau. TextRank: Bringing Order into Texts. - In: Proc. of Empirical Methods in Natural Language Processing, Barcelona, Spain, 2004.Search in Google Scholar

19. Frunza, O., D. Inkpen, T. Tran. A Machine Learning Approach for Identifying Disease- Treatment Relations in Short Texts. - IEEE Transactions on Knowledge and Data Engineering, Vol. 23, 2011, No 6, pp. 801-814. 10.1109/TKDE.2010.152Search in Google Scholar