Predicting the Susceptibility of Osteoporosis Using Classification Techniques

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.