Research on the application of health big data classification based on a collaborative training optimisation algorithm

Key Points

• The research aims to explore how collaborative training optimisation algorithms can enhance health big data classification.
• Developed and tested a novel classification framework using big data in healthcare.
• Employed a collaborative training optimisation algorithm to improve accuracy.
• Analyzed the performance of the algorithm using various data sets.
• Achieved a significant increase in classification accuracy compared to traditional methods.
• Reduced processing time by 30%, indicating enhanced algorithm efficiency.
• Demonstrated the algorithm's effectiveness across different health data sets.

Abstract