Open Access

Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care


Cite

1. Meystre, S. G. Savova, K. C. Kipper-Schuler, J. F. Hurdlе. Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research. - In: Yearbook of Medical Informatics, 2008, pp. 128-144.Search in Google Scholar

2. Jensen, P. B., L. J. Jensen, S. Brunak. Mining Electronic Health Records: Towards Better Research Applications and Clinical Care. - Nature Reviews Genetics, Vol. 13, 2012, No 6, pp. 395-405.10.1038/nrg320822549152Search in Google Scholar

3. Raghupathil, W., V. Raghupathi. Big Data Analytics in Healthcare: Promise and Potential. - Health Information Science and Systems, Vol. 2, 2014, No 3, doi: 10.1186/2047-2501-2-3.10.1186/2047-2501-2-3434181725825667Search in Google Scholar

4. Champion, H., N. Pizzi, R. Krishnamoorthy. Tactical Clinical Text Mining for Improved Patient Characterization. - In: Proc. of IEEE International Congress on Big Data, 2014, pp. 683-690. doi: 10.1109/BigData.Congress.2014.101.10.1109/BigData.Congress.2014.101Search in Google Scholar

5. Sun, W., A. Rumshisky, O. Uzuner. Evaluating Temporal Relations in Clinical Text: 2012 i2b2 Challenge. - Journal of American Medical Informatics Association, Vol. 20, 2013, pp. 806-813. doi: 10.1136/amiajnl-2013-001628.10.1136/amiajnl-2013-001628375627323564629Search in Google Scholar

6. Skeppstedt, M., M. Kvist, G. H. Nilsson, H. Dalianis. Automatic Recognition of Disorders, Findings, Pharmaceuticals and Body Structures from Clinical Text: An Annotation and Machine Learning Study. - Journal of Biomedical Informatics, Vol. 49, 2014, pp. 148-158.10.1016/j.jbi.2014.01.01224508177Search in Google Scholar

7. Zhou, X., H. Han, I. Chankai, A. Prestrud, A. Brooks. Approaches to Text Mining for Clinical Medical Records. - In: Proc. of 21st Annual ACM Symposium on Applied Computing 2006, Technical Tracks on Computer Applications in Health Care (CAHC’2006), Dijon, France, 2006, pp. 235-239.10.1145/1141277.1141330Search in Google Scholar

8. Voorham, J., P. Denig. Computerized Extraction of Information on the Quality of Diabetes Care from Free Text in Electronic Patient Records of General Practitioners. - Journal of American Medical Informatics Association, Vol. 14, May-Jun 2007, No 3, pp. 349-354. doi: 10.1197/jamia.M2128.10.1197/jamia.M2128224489017329733Search in Google Scholar

9. Turchin, A., N. S. Kolatkar, R. W. Grant, E. C. Makhni, M. L. Pendergrass, J. S. Einbinder. Using Regular Expressions to Abstract Blood Pressure and Treatment Intensification Information from the Text of Physician Notes. - Journal of the American Medical Informatics Association, Vol. 13, November-December 2006, No 6, pp. 691-695.10.1197/jamia.M2078165695416929043Search in Google Scholar

10. Murtaugh, M., B. S. Gibson, D. Redd, Q. Zeng-Treitler. Regular Expression-Based Learning to Extract Bodyweight Values from Clinical Notes. - J. Biomed Inform., Vol. 54, April 2015, pp. 186-90. doi: 10.1016/j.jbi.2015.02.009. Epub 2015 Mar 5.10.1016/j.jbi.2015.02.00925746391Search in Google Scholar

11. Min, J., Y. Chen, M. Liu, S. T. Rosenbloom, S. Mani, J. C. Denny, H. Xu. A Study of Machine-Learning-Based Approaches to Extract Clinical Entities and Their Assertions from Discharge Summaries. - J. Am Med Inform Assoc., Vol. 18, September-October 2011, No 5, pp. 601-6. doi: 10.1136/amiajnl-2011-000163. Epub 2011 Apr 20.10.1136/amiajnl-2011-000163316831521508414Search in Google Scholar

12. Patrick, J. D., D. H. M. Nguyen, Y. Wang, M. Li. A Knowledge Discovery and Reuse Pipeline for Information Extraction in Clinical Notes. - J. Am. Med. Inform. Assoc., Vol. 18, September-October 2011, No 5, pp. 574-9. doi: 10.1136/amiajnl-2011-000302. Epub 2011 Jul 7.10.1136/amiajnl-2011-000302316832521737844Search in Google Scholar

13. Bigeard, E., V. Jouhet, F. Mougin, F. Thiessard, N. Grabar. Automatic Extraction of Numerical Values from Unstructured Data. - In: EHRs. Digital Healthcare Empowering Europeans, R. Cornet et al., Eds. 2015, European Federation for Medical Informatics (EFMI). doi:10.3233/978-1-61499-512-8-50.Search in Google Scholar

14. Nikolova, I., D. Tcharaktchiev, S. Boytcheva, Z. Angelov, G. Angelova. Applying Language Technologies on Healthcare Patient Records for Better Treatment of Bulgarian Diabetic Patients. - In: G. Agre et al., Eds. Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Artificial Intelligence, Vol. 8722, Springer, 2014, pp. 92-103.Search in Google Scholar

15. International Classification of Diseases and Related Health Problems 10th Revision. http://apps.who.int/classifications/icd10/browse/2015/en Search in Google Scholar

16. Angelova, G., D. Tcharaktchiev, S. Boytcheva, I. Nikolova, H. Dimitrov, Z. Angelov. From Individual EHR Maintenance to Generalised Findings: Experiments for Application of NLP to Patient-Related Texts. - In: R. Kountchev and B. Iantovics, Eds. Advances in Intelligent Analysis of Medical Data and Decision Support Systems, Studies in Computational Intelligence, Vol. 473, Springer, 2013, pp. 203-212.Search in Google Scholar

17. Boytcheva, S. Shallow Medication Extraction from Hospital Patient Records. - In: V. Koutkias, J. Nies, S. Jensen, N. Maglaveras, and R. Beuscart, Eds. Studies in Health Technology and Informatics, Vol. 166, IOS Press, pp. 119-128.Search in Google Scholar

18. Anatomical Therapeutic Chemical (ATC) Classification System. http://atc.thedrugsinfo.com/Search in Google Scholar

19. Time ML Markup Language for Temporal and Event Expressions, Version 1.2.1, October 2005. http://www.timeml.org/site/index.htmlSearch in Google Scholar

20. Wirote Aroonmanakun, 2000. Collocation Extract. V. 3.06. http://pioneer.chula.ac.th/~awirote/resources/collocation-extract.htmlSearch in Google Scholar

21. Bhatia, R. S., A. Graystone, R. A. Davies, S. Mc Clinton, J. Morin, R. F. Davies. Extracting Information for Generating A Diabetes Report Card from Free Text in Physicians Notes. - In: Proc. of NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents, Association for Computational Linguistics, 2010, pp. 8-14. http://www.aclweb.org/anthology/W10-1102 Search in Google Scholar

eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology