Application of Robust Data Link Optimization in Medical Protein Nutrition Intervention Based on Ensemble Learning Algorithms

Abstract

Research on 6G-related technologies based on the Internet of Things (IoT) has attracted widespread attention from research units, universities, and industry, and there are still some important issues that need to be resolved urgently. How to ensure robust data link optimization for data transmission in a band-limited nonstationary environment at a lower cost is a very important issue. Based on the current research status of specific medical protein POCT products at home and abroad, this paper has designed and developed a specific medical protein detection system with simple operation, rapid detection, and small volume: according to the Lambert Beer’s law, we adopt the transmission colorimetry method (transmittance Turbidity method), with the optical part, electronic part, and mechanical part as the structure, carry out the design work of optoelectronics and software. It also evaluates the serum nutritional indicators and gastrointestinal function of abdominal surgery patients after nutritional intervention combined with emotional nursing and expands the reference basis for intervention methods for abdominal surgery patients. Using this experimental method, after the samples are selected by the CART algorithm, the accuracy of the running results is higher.