![](bg6.png)
Fidahussein, M., Friedlin, J., & Grannis, S. (2011).
Practical challenges in the secondary use of real-world
data: The notifiable condition detector. AMIA Annual
Symposium Proceedings, 2011, 402-408.
Han, J., Kamber, M., & Pei, J. (2011). Data Mining:
Concepts and Techniques (3rd ed.). San Francisco:
Morgan Kaufmann.
Khan, A. N., Griffith, S. P., Moore, C., Russell, D.,
Rosario, A. C. J., & Bertolli, J. (2006).
Standardizing laboratory data by mapping to LOINC.
Journal of the American Medical Informatics
Association, 13(3), 353-355. doi:
10.1197/jamia.M1935.
Lamont, J. (2006). Business intelligence: The text analysis
strategy. KM World, 15(10), 8-10.
Lee, D. H., Lau, F. Y., & Quan, H. (2010). A method for
encoding clinical datasets with SNOMED CT. BMC
Medical Informatics and Decision Making 2010,
10:53.
Lin, J-H., & Haug, P. J. (2006). Data preparation
framework for preprocessing clinical data in data
mining. AMIA Annual Symposium Proceedings, 2006,
489-493.
Lin, M. C., Vreeman, D. J., & Huff, S. M. (2011).
Investigating the semantic interoperability of
laboratory data exchanged using LOINC codes in
three large institutions. AMIA Annual Symposium
Proceedings, 2011, 805-814.
LOINC. (2013). Logical Observation Identifiers Names
and Codes (LOINC®). Retrieved August 12, 2013,
from http://loinc.org.
McDonald, C. J., Huff, S. M., Suico, J. G., Hill, G.,
Leavelle, D., Aller, R., Forrey, A., Mercer, K.,
DeMoor, G., Hook, J., Williams, W., Case, J., &
Maloney, P. (2003). LOINC, a universal standard for
identifying laboratory observations: A 5-year update.
Clinical Chemistry, 49, 624–633.
Razavi, A. R., Gill, H., Åhlfeldt, H., & Shahsavar, N.
(2005). A Data Pre-processing method to increase
efficiency and accuracy in data mining. In S. Miksch
et al. (Eds.): AIME 2005, LNAI 3581 (pp. 434-443).
Berlin: Springer-Verlag.
RELMA. (2013). Regenstrief LOINC Mapping Assistant
(RELMA) Users’ Guide. Retrieved August 12, 2013,
from http://loinc.org.
Sanders, C. M., Saltzstein, S. L., Schultzel, M. M.,
Nguyen, D. H., Stafford, H. S., & Sadler, G. R.
(2012). Understanding the limits of large datasets.
Journal of Cancer Education, 27(4), 664-669.
Svensson-Ranallo, P. A., Adam, T. J., & Sainfort, F.
(2011). A Framework and standardized methodology
for developing minimum clinical datasets. AMIA
Summits on Translational Science Proceedings, 2011,
54-58.
University of Dundee (n.d.). Tayside Bioresource.
Retrieved September 17, 2013, from
http://medicine.dundee.ac.uk/tayside-bioresource.
van Vlymen, J., & de Lusignan, S. (2005). A system of
metadata to control the process of query, aggregating,
cleaning and analysing large datasets of primary care
data. Informatics in Primary Care, 13, 281-291.
Vreeman, D., J., Chiaravalloti, M. T., Hook, J., &
McDonald, C. J. (2012). Enabling international
adoption of LOINC through translation. Journal of
Biomedical Informatics, 45(4), 667-673.
Wilson, P. S., & Scichilone, R. A. (2011). LOINC as a
data standard: How LOINC can be used in electronic
environments. Journal of AHIMA, 82(7), 44-47.
Wirtschafter, D. D., & Mesel, E. (1976). A strategy for
redesigning the medical record for quality assurance.
Medical Care, 14(1), 68-76.
HEALTHINF2014-InternationalConferenceonHealthInformatics
210