Open Access Open Access  Restricted Access Subscription or Fee Access

Predicting the Susceptibility of Osteoporosis Using Classification Techniques

B. Priyadharshini, K. Vijayakumar

Abstract


The objective of this paper is to identify persons who are susceptible to Osteoporosis and raise an awareness among health care providers and patients. This will be useful in primary health centers where equipments for measuring bone strength are not easily available. The prediction is based on historical data of the patients. The prediction will identify at-risk patients early and helps in starting the medication before doing the confirmatory test for Osteoporosis. Also two classification techniques are applied and their results are compared.

Keywords


Osteoporosis, Decision Tree, Decision Table, Weka Tool.

Full Text:

PDF

References


Priyadharshini B, Vijayakumar K, Analyzing Risk Factors for Osteoporosis Using Classification Technique, International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012.

Cheryl Kimber, Karen Grimmer-Somers A novel primary care clinical prediction rule for early detection of osteoporosis, Australian Journal of Primary Health Volume 17 Number 2 2011.

Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg:Springer,2001 (http://www.springer.de/cgi-bin/search_book.pl?isbn¼3-7908-1340-0).

Sambrook PN, Seeman E, Phillips SR, Ebeling PR (2002) Preventing osteoporosis: outcomes of the Australian Fracture Prevention Summit. The Medical Journal of Australia 176, S1–S16.

Haines TP, Hill K, Walsh W, Osborne R (2007) Design-related bias in hospital fall risk screening tool predictive accuracy evaluations: systematic review and meta-analysis. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 62, 664–672.

Lindsay, R., et al. Osteoporosis Int. 2005; 16: 78-85.National Osteoporosis Foundation: Fast Facts 2008.

Paolo Giudici. 2005. Applied Data Mining- Statistical Methods for business and Industry.Wiley Student Edition.

Margaret H. Dunham. 2003. Data Mining-Introductory and Advanced Topics.Pearson Education.

Han J. and Kamber, M. 2006. Data mining concepts and techniques.Morgan Kauffmann publications.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.