Secured hash Techniques for the Analysis of Physical Health Based on Third Party and Apriori Algorithm

This article aims to conduct empirical testing on 6043 students from 7 high schools to explore the data background and potential risks that third-party physical health measurements can reveal.Through Apriori Analysis of algorithms, we have concluded that there is a certain degree of similarity between the results and reference values of most indicators when measured by a third party.Therefore, this paper can effectively reveal the potential risks to effectively control and reduce the possible risks when preventing and treating diseases.Through the Apriori algorithm, we found that six rules with more than 10% support showed relatively small interaction between the Standing long jump and other sports.Therefore, we concluded that the athletes from seven middle schools had relatively good physical conditions, muscle elasticity, strength, and durability.In addition, data from third parties can more accurately reflect athletes' exercise status.