Analysis of risk factors affecting knee injury during yoga based on medical big data analysis

The integration of big data systems into the medical field has diversified applications. Health and medical big data is a specific project of information technology application in the future development of medical field. Data analysis and functional configurations are implemented following comprehensive data collection. Yoga has a long history as a form of physical exercise. However, if practitioners do not pay attention to proper technique during practice, knee joint and other soft tissue injuries can easily occur. Based on this study through the big data collection to knee injuries, 89 yoga practitioners as the research object of this study, the other to select 100 cases of knee injury not occurring yoga practitioners as control group, compared to the general data, exercise habits, physical quality, such as information, using logistic regression model to cause a yoga practitioner of knee injury risk factors analysis; medical big data analysis revealed that high body mass index, low self-protection awareness, frequent forward-bending postures, insufficient sports medicine knowledge among yoga instructors, and incomplete curriculum design were independent risk factors for knee injury in yoga practitioners, and safety as the basic factor of choosing yoga was the protective factor. In addition to the risk factors affecting knee injury in yoga practitioners, the analysis of medical big data and the development of intervention measures on this basis may have certain clinical value in the prevention of this kind of injury. This confirms the medical data platform's efficacy in developing yoga-related knee injury prevention strategies.