Inference of missing ICD 9 codes using text mining and nearest neighbor techniques

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2012, Pages 1060-1069

  Erraguntla, Madhav ^a   Gopal, Belita ^a   Ramachandran, Satheesh ^a   Mayer, Richard ^a  

^a KBSI   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); DIAGNOSIS; INFORMATION MANAGEMENT; MEDICAL COMPUTING;

ELECTRONIC MEDICAL RECORD; ENVIRONMENTAL CONDITIONS; HEALTH MANAGEMENT SYSTEMS; INTERNATIONAL CLASSIFICATION OF DISEASE; KNOWLEDGE-DISCOVERY APPLICATION; MEDICAL PROCEDURES; NEAREST NEIGHBOR TECHNIQUE; NEAREST NEIGHBORHOOD;

DATA MINING;

EID: 84857969888     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2012.323     Document Type: Conference Paper

References (20)

1. Chrisendres, "ICD 9 Codes," [Online], 2010, http://icd9cm.chrisendres.com/.
2. R. Weber, H. Schek, and S. Blott, "A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces" Proceedings of the 24th VLDB Conference, 1998.
3. K. Fakunga and P. M. Narendra, "A Branch and Bound Algorithm for Computing k-Nearest Neighbors," Transactions on Computers, 1975.
4. Department of Defense, Occupational Medical Examinations and Surveillance Manual, [Online], 2008, www.dtic.mil/whs/directives/corres/pdf/605505mp.pdf.
5. KBSI, Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit Phase II, 2009, W81XWH-08-C-0756.
6. M. Erraguntla et al., Avian Influenza Datamining Using Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT), s.l. : 43 Hawaii International Conference on System Sciences, 2010.
7. P. D. Allison, Missing Data Thousand Oaks. s.l. : Sage Publications, 2001.
8. C. D. Howell,"Treatment of Missing Data" [Online] http://www.uvm.edu/~dhowell/StatPages/More-Stuff/Missi Mi-Data/Missing.html.
9. R. J. A. Little and D. B. Rubin, Statistical analysis with missing data, New York, Wiley, 1987.
10. P. T. von Hippel, "Filling Holes in Your Data:Multiple Imputation Education Research," [Online], www.sociology.ohio-state.edu/ptv/Brownbags/ MI/MI.ppt.
11. Yuan, Y. C, "Multiple Imputation for Missing Data: Concepts and New Development," [Online], http://support.sas.com/rnd/app/papers/ multipleimputation.pdf.
12. Schafer, J, "Missing Data in Longitudinal Studies: A Review," [online], http://www.stat.psu.edu/~jls/aaps-schafer.pdf
13. J. U. Espino and M. A. Wagner, "Accuracy of ICD-9- coded Chief Complaints and Diagnoses for the Detection of Acute Respiratory Illness," AMIA, 2001. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2243564/pdp/ procamiasymp00002-0203.pdf.
14. S. Kandula et al., "A Bootstrapping Method to Improve Cohort Identification," 2010. http://syndromic.org/annual-conference/2010.
15. J. Esteban et al., "A Review of data fusion models and architectures: towards engineering guidelines," 4, s.l., Neural Computing & Applications, 2005, Vol. 14. DOI: 10.1007/s00521-004-0463-7.
16. M. E. Liggins, J. Llinas, and D. L. Hall, Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering & Applied Signal Processing Series), s.l. : CRC Press, 2008.
17. J. Llinas, et al., "Revisiting the JDL data fusion model II," s.l. : 7th Int. Conf. on Information Fusion, 2004.
18. C. Fellbaum, An Electronic Lexical Database, Cambridge, MA : MIT Press, 1999.
19. D. Lin, "A C++ Implementation of Hidden Markov Model" [Online], http://www.cs.ualberta.ca/~lindek/hmm.htm.
20. D. Sleator and D. Temperley, "Parsing English with a link grammar," Third International Workshop on Parsing Technologies, 1993.