Medical Research Based on Computer Engineering: Neural Networks, Sensors and Artificial Chemical Defense Devices

作者：Wusheng Huang, Xiaohe Zhang, Yuran Wang, Zhenyu Liu, Liangyu Li, Ting Li, Jun Luo, Yi Qin · 发表于：Highlights in Science Engineering and Technology · 年份：2024 · DOI：10.54097/g34cb945 · 研究领域：Brain Tumor Detection and Classification、Cardiovascular Health and Risk Factors、Energy Efficiency in Computing

The research group designed an algorithm based on artificial neural network. The algorithm can identify the survival prediction rate of survivors in nuclear disaster area, and use these data to support the work of chemical defense forces. At the same time, the mathematical calculation model and sensor monitoring and data return model are designed for possible nuclear pollution. The two computer models can compare data with each other to reduce errors. The research group also tried to propose a training method for chemical defense forces' rescue mission based on neuroscience and virtual reality technology. The research group analyzed and reported the above computer engineering models and sociological experiments. The artificial neural network is used to predict the damage caused by nuclear radiation dose to human body. The method is as follows. We predicted the radiation department staff in medical units and whether they had cancer. The implementation of this neural network not only verified the radiation damage, but also provided a new idea for clinical engineering. At the same time, the research team also evaluated the effectiveness of the neural network.